Publications

Academic publications

Abayaratne, S., Su, D., & Qiao, Y. (2024). CropFinder: AI-based Detection and Tracking of Crops for Precision Agriculture. 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), 1-6.

Abou-Chakra, J., Dayoub, F., & Sünderhauf, N. (2024). ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 5963-5972.

Abou-Chakra, J., Rana, K., Dayoub, F., & Sunderhauf, N. (2024). Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics. ArXiv, (abs/2406.10788).

Abou-Chakra, J., Rana, K., Dayoub, F., & Sünderhauf, N. (2024). Physically embodied gaussian splatting: Embedding physical priors into a visual 3d world model for robotics.

Abraham, S. S., Alirezaie, M., & Raedt, L. D. (2024). CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments. International Conference on Language Resources and Evaluation, 3297-3313.

Abraham, S. S., Garg, S., & Dayoub, F. (2024). To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation. ArXiv, (abs/2411.05831).

Ahmadi, S., Cheraghian, A., Chowdhury, T., Saberi, M., & Rahman, S. (2024). 3D scene generation for zero-shot learning using ChatGPT guided language prompts. Comput. Vis. Image Underst., (249), 104211.

Albert, P., Valmadre, J., Arazo, E., Krishna, T., O'Connor, N. E., & McGuinness, K. (2024). An accurate detection is not all you need to combat label noise in web-noisy datasets. European Conference on Computer Vision, 55-72.

Alderman, J. E., Charalambides, M., & al., G. S. (2024). Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review. The Lancet Digital Health, 11.0(6), e827-e847.

Alhazmi, E., Sheng, Q. Z., Zhang, W., Zaib, M., & Alhazmi, A. (2024). Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation. ArXiv, (abs/2402.01512).

Alhazmi, E., Sheng, Q. Z., Zhang, W., Zaib, M., & Alhazmi, A. (2024). Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation. Conference on Empirical Methods in Natural Language Processing, 14437-14458.

Avery, J. C., Deslandes, A., & al., S. M. F. (2024). Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence. Fertility and Sterility, 2(121), 164-188.

Avery, J. C., Knox, S., & al., A. D. (2024). Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography.

Avery, J., Yuan, Z., & al., W. H. (2024). P-289 Optimising the detection of obliterated Pouch of Douglas for endometriosis diagnosis, by combining unpaired endometriosis ultrasounds and magnetic resonance imaging using Artificial Intelligence.

Bassi, P. R., Li, W., & al., Y. T. (2024). Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?. ArXiv, (abs/2411.03670).

Bedrikovetski, S., Zhang, J., & al., W. S. (2024). Deep learning to predict lymph node status on pre‐operative staging CT in patients with colon cancer. Journal of Medical Imaging and Radiation Oncology, (68).

Bethell, A., Garg, R., & Reid, I. (2024). Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion. ArXiv, (abs/2412.11420).

Bhattacharya, N., Rockstroh, A., & al., S. S. D. (2024). Pseudo-grading of tumor subpopulations from single-cell transcriptomic data using Phenotype Algebra.

Bidargaddi, N., Leibbrandt, R., Paget, T. L., Verjans, J., Looi, J. C., & Lipschitz, J. (2024). Remote sensing mental health: A systematic review of factors essential to clinical translation from validation research. DIGITAL HEALTH, (10).

Bird, A., McMaster, C., & Liew, D. (2024). Clinical evaluation is critical for the implementation of artificial intelligence in health care: comment on the article by Mickley et al. Arthritis Care & Research, (76).

Bird, A., Oakden-Rayner, L., & al., L. A. S. (2024). Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scores. Clinical Rheumatology, 5(43), 1503-1512.

Birdi, S., Rabet, R., & al., S. D. (2024). Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review. BMC Public Health, (24).

Bockman, J., Howe, M., Orenstein, A., & Dayoub, F. (2024). AARK: An Open Toolkit for Autonomous Racing Research. ArXiv, (abs/2410.00358).

Bouabid, S., Watson-Parris, D., Stefanović, S., Nenes, A., & Sejdinovic, D. (2024). Aerosol optical depth disaggregation: toward global aerosol vertical profiles. Environmental Data Science, (3).

Boyd, C., Brown, G. C., & al., T. K. (2024). Hyperparameter selection for dataset‐constrained semantic segmentation: Practical machine learning optimization. Journal of Applied Clinical Medical Physics, (25).

Brady, A. P., Allen, B., & al., J. C. (2024). RANZCR & RSNA.

Brady, A. P., Allen, B., & al., J. J. R. C. (2024). Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. Insights into Imaging, (15).

Buchlak, Q. D., Tang, C. H. M., & al., J. S. (2024). Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy. European Radiology, (34), 810 - 822.

Cai, G., Cai, Y., & al., Z. Z. (2024). MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. ArXiv, (abs/2409.14028).

Cai, Y., Liu, Y., Zhang, Z., & Shi, J. Q. (2024). CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts. European Conference on Computer Vision, 130-147.

Cai, Y., Liu, Y., Zhang, Z., & Shi, J. Q. (2024). CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models. ArXiv, (abs/2311.16445).

Cao, H., Zhang, Z., & al., P. C. (2024). Rethinking State Disentanglement in Causal Reinforcement Learning. ArXiv, (abs/2408.13498).

Cao, H., Zou, J., & al., Y. L. (2024). InvariantStock: Learning Invariant Features for Mastering the Shifting Market. ArXiv, (abs/2409.00671).

Cao, M., Liu, Y., & al., Y. L. (2024). Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models. ArXiv, (abs/2411.02564).

Cao, M., Tang, H., & al., H. Z. (2024). PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos. ArXiv, (abs/2412.01800).

Chan, A., Darzi, A., & al., C. H. (2024). Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. Nature Medicine, (26), 1364 - 1374.

Chandran, P., Huang, Y., & al., J. M. (2024). Characterizing Learners' Complex Attentional States During Online Multimedia Learning Using Eye-tracking, Egocentric Camera, Webcam, and Retrospective recalls. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 1-7.

Chapman, A., Xu, H., & Liu, L. (2024). Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 101-108.

Chapman, D., Morgan, F., & al., K. D. T. (2024). Assessing torque transfer in conduction system pacing: development and evaluation of an ex vivo model.

Chapman, D., Strong, C., Dharmaprani, D., Kaur, P., Tiver, K., & Ganesan, A. N. (2024). Reducing Leak and Increasing Comfort of an N95 Filtering Facepiece Respirator for Aged-Care Workers Using a Customized, Soft, and Compliant Mask Frame. Journal of Medical Devices, 2.0(18).

Chapman, D., Strong, C., Dharmaprani, D., Tiver, K., Kaur, P., & Ganesan, A. N. (2024). A comparative study of point-of-care protection from N95 filtering face-piece respirators in a Residential Aged Care Facility and a Tertiary Hospital—Respiratory protection challenges remain amidst long-term impacts of COVID-19.

Chapman, D., Tiver, K., Dharmaprani, D., Jenkins, E., Shahrbabaki, S., & Ganesan, A. N. (2024). PO-03-204 EFFECT OF SPEED AND CATHETER SHAPE ON ROTATION RESPONSE OF SOLID CORE CONDUCTION SYSTEM PACING LEAD. Heart Rhythm.

Chapman, N. H., Dayoub, F., Browne, W., & Lehnert, C. (2024). Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. ArXiv, (abs/2402.03721).

Chau, S. L., Schrab, A., Gretton, A., Sejdinovic, D., & Muandet, K. (2024). Credal Two-Sample Tests of Epistemic Ignorance. ArXiv, (abs/2410.12921).

Chen, F., Gou, C., & al., J. L. (2024). Evaluating and Advancing Multimodal Large Language Models in Ability Lens. ArXiv, (abs/2411.14725).

Chen, F., Yang, Z., Zhuang, B., & Wu, Q. (2024). Streaming Video Diffusion: Online Video Editing with Diffusion Models. ArXiv, (abs/2405.19726).

Chen, J., Mei, J., & al., X. L. (2024). TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical image analysis, (97),           103280        .

Chen, K., An, D., & al., Y. H. (2024). Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments. ArXiv, (abs/2412.10137).

Chen, L., Zhang, Y., Song, Y., Shen, Z., & Liu, L. (2024). LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. ArXiv, (abs/2410.17020).

Chen, L., Zhang, Y., Song, Y., Zhang, Z., & Liu, L. (2024). A Causal Inspired Early-Branching Structure for Domain Generalization. International Journal of Computer Vision, 9(132), 4052-4072.

Chen, Q., Su, X., & al., X. Z. (2024). LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. ArXiv, (abs/2406.03459).

Chen, Q., Zhang, B., Wang, G., & Wu, Q. (2024). Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. ArXiv, (abs/2410.06733).

Chen, Q., Zhao, R., & al., S. W. (2024). A Survey of Medical Vision-and-Language Applications and Their Techniques. ArXiv, (abs/2411.12195).

Chen, Y., Liu, Y., & al., H. W. (2024). Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 26487-26497.

Chen, Y., Wang, C., Liu, Y., Wang, H., & Carneiro, G. (2024). CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. European Conference on Computer Vision, 438-456.

Cheng, H., Zhang, M., & Shi, J. Q. (2024). MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models. ArXiv, (abs/2407.11681).

Cheng, H., Zhang, M., & Shi, J. Q. (2024). Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining. IEEE Transactions on Pattern Analysis and Machine Intelligence, (46), 9023-9037.

Chng, C., Mcleod, S., Rodda, M., & Chin, T. (2024). Crater identification by perspective cone alignment. Acta Astronautica.

Chng, S., Garg, R., Saratchandran, H., & Lucey, S. (2024). Invertible Neural Warp for NeRF. ArXiv, (abs/2407.12354).

Chng, S., Saratchandran, H., & Lucey, S. (2024). Preconditioners for the Stochastic Training of Implicit Neural Representations. ArXiv, (abs/2402.08784).

Chodosh, N., Madan, A., Ramanan, D., & Lucey, S. (2024). SMORE: Simulataneous Map and Object REconstruction.

Chowdhury, A., Latif, Y., Aksenov, I., Jah, M., & Bagchi, S. (2024). L-DIT: A dApp for Live Detectability, Identifiability and Trackability for ASOs on the Behavioral Dynamics Blockchain. ArXiv, (abs/2404.18350).

Chowdhury, T. F., Liao, K., & al., V. M. H. P. (2024). CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11072-11081.

Chowdhury, T., Phan, V. M. H., & al., K. L. (2024). AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. ArXiv, (abs/2408.02001).

Chu, X., Deng, J., You, G., Duan, Y., Li, H., & Zhang, Y. (2024). RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion. ArXiv, (abs/2412.12725).

Chu, X., Deng, J., You, G., Duan, Y., Li, Y., & Zhang, Y. (2024). RayFormer: Improving Query-Based Multi-Camera 3D Object Detection via Ray-Centric Strategies. Proceedings of the 32nd ACM International Conference on Multimedia, 4620-4629.

Clement, B., Dubromel, M., Santos, P. E., Sammut, K., Oppert, M., & Dayoub, F. (2024). Hybrid Navigation Acceptability and Safety. ArXiv, (abs/2404.11882).

Collins, G. S., Moons, K. G., & al., P. D. (2024). Popis provjere u izjavi TRIPOD+ AI (hrvatski prijevod).

Collins, G. S., Moons, K. G., & al., P. D. (2024). TRIPOD+ AI checklist (Croatian translation).

Collins, G. S., Moons, K. G., & al., P. D. (2024). TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.

Condon, J. J., Trinh, V., & al., K. A. H. (2024). Impact of transfer learning using local data on performance of a deep learning model for screening mammography.

Cong, G., Pan, J., & al., L. L. (2024). EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing. ArXiv, (abs/2412.08988).

Cong, G., Qi, Y., & al., L. L. (2024). StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. Findings of the Association for Computational Linguistics ACL 2024, 6767-6779.

Craig, D. L., Moon, H., & al., F. F. (2024). Bridging the reality gap in quantum devices with physics-aware machine learning. ArXiv, (abs/2111.11285).

Damirchi, H., Rodriguez, C., & al., E. A. (2024). Proactive Learning: Search-augmented learning using Pre-trained Models.

Deng, J., Zhang, S., Dayoub, F., Ouyang, W., Zhang, Y., & Reid, I. (2024). PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest. ArXiv, (abs/2403.09212).

Deslandes, A., Panuccio, C., & al., J. A. (2024). Are sonographers the future ‘gold standard’in the diagnosis of endometriosis?.

Deslandes, A., Petashvili, D., & al., H. W. (2024). A novel machine learning model for automatic assessment of quality of transvaginal ultrasound images.

Dharmaprani, D., Tiver, K., & al., S. S. S. (2024). Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization. Circulation. Arrhythmia and Electrophysiology, (17), e012684 - e012684.

Dinsdale, N., Jenkinson, M., & Namburete, A. I. L. (2024). UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data. bioRxiv.

Doan, A., Nguyen, B. L., & al., T. L. (2024). Weakly Supervised Test-Time Domain Adaptation for Object Detection. ArXiv, (abs/2407.05607).

Doan, A., Nguyen, B. L., Gupta, S., Reid, I., Wagner, M., & Chin, T. (2024). Assessing domain gap for continual domain adaptation in object detection. Computer Vision and Image Understanding, (238), 103885.

Doan, A., Phan, V. M. H., Gupta, S., Wagner, M., Chin, T., & Reid, I. (2024). TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. ArXiv, (abs/2408.14227).

Doan, B. G., Nguyen, D. Q., & al., C. L. (2024). On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. ArXiv, (abs/2408.12122).

Doan, B. G., Nguyen, D. Q., & al., P. M. (2024). Bayesian Learned Models Can Detect Adversarial Malware for Free. Lecture Notes in Computer Science, 45-65.

Doan, B. G., Nguyen, D. Q., & al., P. M. (2024). Bayesian Learned Models Can Detect Adversarial Malware For Free. ArXiv, (abs/2403.18309).

Doan, B. G., Shamsi, A., & al., X. G. (2024). Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. ArXiv, (abs/2407.20891).

Dong, C. G., Li, Z. D., Zheng, L. N., Chen, W., & Zhang, W. E. (2024). Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 477-486.

Dong, C., Li, Z., Zheng, L., Chen, W., & Zhang, W. (2024). Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble. ArXiv, (abs/2409.02802).

Dong, C., Zheng, L., Chen, W., & Zhang, W. (2024). Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. International Conference on Advanced Data Mining and Applications, 342-355.

Dorraki, M., Liao, Z., & al., D. A. (2024). Improving cardiovascular disease prediction with machine learning using mental health data: a prospective UK Biobank study.

Dorraki, M., Sengupta, P. P., & Verjans, J. W. (2024). Artificial intelligence in echocardiography.

Du, A., Doan, A., Law, Y. W., & Chin, T. (2024). Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. Remote. Sens., (16), 3469.

Duan, Z., Ding, Y., Gou, C., Zhou, Z., Smith, E., & Liu, L. (2024). EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance.

Duan, Z., Ding, Y., Gou, C., Zhou, Z., Smith, E., & Liu, L. (2024). EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance.

Duncanson, K. A., Horst, F., Abbasnejad, E., Hanly, G., Robertson, W. S. P., & Thewlis, D. (2024). Modelling individual variation in human walking gait across populations and walking conditions via gait recognition. Journal of The Royal Society Interface, 221(21).

Dölker, E., Lau, S., Bernhard, M. A., & Haueisen, J. (2024). Perception of amplitude, pulse intervals, and location of electrocutaneous stimulation.

Dölker, E., Lau, S., Bernhard, M., & Haueisen, J. (2024). Design dimensions of electrocutaneous warning stimulation patterns in workplace safety devices. PLOS ONE, (19).

Ehsanpour, M., Reid, I. D., & Rezatofighi, H. (2024). Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning. ArXiv, (abs/2404.05578).

Eissing, T., Goulooze, S. C., & al., P. B. (2024). Pharmacokinetics and pharmacodynamics of finerenone in patients with chronic kidney disease and type 2 diabetes: insights based on FIGARO‐DKD and FIDELIO‐DKD.

Elms, E., Latif, Y., Park, T. H., & Chin, T. (2024). Event-based Structure-from-Orbit. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19541-19550.

Fang, S., Wang, Y., & al., Y. H. (2024). Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

Faulkner, R., Haub, L., Ratcliffe, S., Doan, A., Reid, I., & Chin, T. (2024). Simultaneous Diffusion Sampling for Conditional LiDAR Generation. ArXiv, (abs/2410.11628).

Fawkes, J., Hu, R., & Sejdinovic, D. (2024). Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects. Trans. Mach. Learn. Res., (2024).

Feng, H., Wang, W., Liu, S., Deng, J., Zhou, W., & Li, H. (2024). DeepEraser: Deep Iterative Context Mining for Generic Text Eraser. IEEE Transactions on Multimedia, 1-12.

Feng, H., Zhou, K., & al., W. Z. (2024). Recurrent Generic Contour-Based Instance Segmentation With Progressive Learning. IEEE Transactions on Circuits and Systems for Video Technology, 9(34), 7947-7961.

Ferretti, A., Adjei, K., & al., J. A. (2024). Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa. Health Promotion International, (39).

Filippatos, G., Anker, S., & al., G. B. (2024). Finerenone and left ventricular hypertrophy in chronic kidney disease and type 2 diabetes. ESC Heart Failure, (12), 185 - 188.

Fu, S., Wang, X., Huang, Q., & Zhang, Y. (2024). Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models. ArXiv, (abs/2408.13979).

Fusco, C., Dabhi, M., Ch'ng, S., & Lucey, S. (2024). Object Agnostic 3D Lifting in Space and Time. ArXiv, (abs/2412.01166).

Gao, C., Liu, S., & al., J. C. (2024). Room-Object Entity Prompting and Reasoning for Embodied Referring Expression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2.0(46), 994-1010.

Garg, K., Puligilla, S. S., Kolathaya, S. N. Y., Krishna, M., & Garg, S. (2024). Revisit Anything: Visual Place Recognition via Image Segment Retrieval. ArXiv, (abs/2409.18049).

Garg, R., Ch'ng, S., & Lucey, S. (2024). Direct Alignment for Robust NeRF Learning. Asian Conference on Computer Vision, 88-104.

Garg, S., Rana, K., & al., M. H. (2024). RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. 2024 IEEE International Conference on Robotics and Automation (ICRA), 4090-4097.

Gath, J., Leung, C. H., & al., A. A. (2024). Exploring patient and public participation in the STANDING Together initiative for AI in healthcare.. Nature medicine, (30 12),           3406-3408        .

Ge, J., Zhang, B., & al., A. L. (2024). CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation. ArXiv, (abs/2411.02715).

Ge, J., Zhang, Z., Phan, M. H., Zhang, B., Liu, A., & Zhao, Y. (2024). ESA: Annotation-Efficient Active Learning for Semantic Segmentation. ArXiv, (abs/2408.13491).

Ge, Y., Wang, W., Chen, Y., Chen, H., & Shen, C. (2024). 3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models. ArXiv, (abs/2403.11111).

Ge, Y., Xu, G., & al., Z. Z. (2024). GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models. ArXiv, (abs/2406.12671).

Gordon, C., MacDonald, L., Saratchandran, H., & Lucey, S. (2024). D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations.

Graziano, A., Sghirripa, S., & Goldsworthy, M. (2024). Age-and Load-Related Changes in Aperiodic EEG Activity During Verbal Working Memory.

Gu, B., Pipicella, J. L., Palmer, L., Connor, S. J., Wilson, W., & Andrews, J. M. (2024). Assessing patient-perceived burden of disease in Ulcerative Colitis: a novel scoring approach in a real-world Australasian cohort.

Gu, B., Pipicella, J., Palmer, L., Connor, S. J., Wilson, W. E., & Andrews, J. M. (2024). Tu1865 ASSESSING PATIENT-PERCEIVED BURDEN OF DISEASE IN ULCERATIVE COLITIS: A NOVEL SCORING APPROACH IN A REAL-WORLD AUSTRALASIAN COHORT. Gastroenterology.

Gu, B., Pipicella, J., Palmer, L., Connor, S., Wilson, W., & Andrews, J. (2024). P654 Assessing patient-perceived burden of disease in Ulcerative Colitis: a novel scoring approach in a real-world Australasian cohort. Journal of Crohn's and Colitis.

Hamad, S., Sheng, Q. Z., & Zhang, W. (2024). Security Framework for The Internet of Things Applications.

Hammond, R., Craggs, D., Guo, M., Foerster, J., & Reid, I. (2024). Symmetry-Breaking Augmentations for Ad Hoc Teamwork. ArXiv, (abs/2402.09984).

Han, K., Koay, A. M. Y., Ko, R. K. L., Chen, W., & Xu, M. (2024). Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. Australasian Database Conference, 293-307.

Hausler, S., Shrivastava, S., Chakravarty, P., Vora, A. G., Milford, M., & Sourav, G. (2024). Vehicle pose.

Hong, H., Wang, S., Huang, Z., Wu, Q., & Liu, J. (2024). Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. ACM Multimedia, 7639-7648.

Hong, H., Wang, S., Huang, Z., Wu, Q., & Liu, J. (2024). Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. International Joint Conference on Artificial Intelligence, 839-847.

Hosseinzadeh, M., & Reid, I. (2024). BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 14111-14118.

Hu, N., Su, D., & al., S. W. (2024). Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots. Journal of Field Robotics, (41), 570 - 586.

Hu, T., Yan, Q., Qi, Y., & Zhang, Y. (2024). Generating Content for HDR Deghosting from Frequency View. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 25732-25741.

Huang, Q., Fu, S., & al., X. L. (2024). Learning Retrieval Augmentation for Personalized Dialogue Generation. ArXiv, (abs/2406.18847).

Huang, Q., Fu, S., & al., X. L. (2024). Learning Retrieval Augmentation for Personalized Dialogue Generation. ArXiv, (abs/2406.18847).

Huang, Y., Nguyen, D. D., Nguyen, L., Pham, C., & Hoai, M. (2024). Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild. ArXiv, (abs/2312.17330).

Huang, Z., Chen, Q., & al., L. S. (2024). G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10117-10126.

Izzo, D., Martens, M., & al., L. B. (2024). Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem. ArXiv, (abs/2410.20839).

Jabri, M., Papadakis, P., Abbasnejad, E., Coppin, G., & Shi, J. (2024). Invariant Representation Learning for Generalizable Imitation. ESANN 2024 proceesdings, 461-466.

Jawaid, A. M., Talak, R., Latif, Y., Carlone, L., & Chin, T. (2024). Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4534-4541.

Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2024). Efficient Learning With Sine-Activated Low-rank Matrices.

Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2024). Sine activated low-rank matrices for parameter efficient learning.

Jiang, H., Li, Z., & al., Y. H. (2024). Dual Prototype Contrastive Network for Generalized Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology, (35), 1111-1122.

Jin, B., Wang, G., & al., J. F. (2024). PointStack based 3D automatic body measurement for goat phenotypic information acquisition. Biosystems Engineering.

Jin, S., Lan, Z., & al., G. Y. (2024). Computationally guided design and synthesis of dual‐drug loaded polymeric nanoparticles for combination therapy. Aggregate.

Jones, C., Castro, D. C., Ribeiro, F. D. S., Oktay, O., McCradden, M., & Glocker, B. (2024). A causal perspective on dataset bias in machine learning for medical imaging. Nature Machine Intelligence.

Kadan, A., Deepak, P., Gangan, M. P., Abraham, S. S., & Lajish, V. L. (2024). REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection. Knowledge and Information Systems, 12.0(66), 7495-7525.

Kalwar, S., Ungarala, M., & al., S. J. (2024). DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9791-9796.

Karácsony, T., Jeni, L. A., & al., F. D. T. (2024). Publication Submission Form.

Khaliq, A., Xu, M., Hausler, S., Milford, M., & Garg, S. (2024). VLAD-BuFF: Burst-Aware Fast Feature Aggregation for Visual Place Recognition. ArXiv, (abs/2409.19293).

Khan, E., Lambrakis, K., & al., Z. L. (2024). Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome. JACC: Advances, (3).

Knol, M., Poot, R., & al., T. E. (2024). Genetic variants for head size share genes and pathways with cancer. Cell Reports Medicine, (5).

Krishna, A., Kurian, N., Patil, A., Parulekar, A., & Sethi, A. (2024). PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. ArXiv, (abs/2411.00749).

Kurian, N., Gann, P. H., Kumar, N., McGregor, S. M., Verma, R., & Sethi, A. (2024). Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images. Cancer Research Communications, (5), 157 - 166.

Kwiecinski, J., Wang, K. L., & al., E. T. (2024). Sex differences in coronary atherosclerotic plaque activity using 18F-sodium fluoride positron emission tomography. European Heart Journal, Supplement_1(45).

Lafargue, R., Bendou, Y., & al., B. P. (2024). Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes. ArXiv, (abs/2401.15834).

Lafargue, R., Smith, L., & al., F. V. (2024). Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. ArXiv, (abs/2409.02850).

Latif, Y., Chowdhury, A., & Bagchi, S. (2024). On-chain Validation of Tracking Data Messages (TDM) Using Distributed Deep Learning on a Proof of Stake (PoS) Blockchain. ArXiv, (abs/2409.01614).

Latif, Y., Chowdhury, A., & Bagchi, S. (2024). An Efficient Collision Analysis Framework Enabling Real-Time Spacecraft Self-Protect.

Laws, E., Palmer, J., & al., J. E. A. (2024). Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.. Clinical imaging, (118),           110369        .

Le, D. T., Gou, C., & al., S. D. (2024). JRDB-PanoTrack: An Open-World Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 22325-22334.

Le, K. D. R., Tay, S. B. P., Choy, K. T., Verjans, J., Sasanelli, N., & Kong, J. C. H. (2024). Applications of natural language processing tools in the surgical journey. Frontiers in Surgery, (11).

Lee, S., Lu, Z., Zhang, Z., Hoai, M., & Elhamifar, E. (2024). Error Detection in Egocentric Procedural Task Videos. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18655-18666.

Lei, H., Li, H., Geiger, A., & Dick, A. (2024). Level-Set Parameters: Novel Representation for 3D Shape Analysis. ArXiv, (abs/2412.13502).

Lei, L., Gai, K., Yu, J., Zhu, L., & Wu, Q. (2024). Conceptwm: A Diffusion Model Watermark for Concept Protection. ArXiv, (abs/2411.11688).

Lenhardt, J., Quaas, J., & Sejdinovic, D. (2024). Marine cloud base height retrieval from MODIS cloud properties using machine learning. Atmospheric Measurement Techniques.

Lenhardt, J., Quaas, J., Sejdinovic, D., & Klocke, D. (2024). CloudViT: classifying cloud types in global satellite data and in kilometre-resolution simulations using vision transformers.

Li, B., Cai, Z., Li, Y., Reid, I. D., & Rezatofighi, H. (2024). Hi-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting. ArXiv, (abs/2409.12518).

Li, B., Deng, J., & al., W. Z. (2024). Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion. ArXiv, (abs/2407.02077).

Li, B., Jin, X., Deng, J., Sun, Y., Wang, X., & Zeng, W. (2024). Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction. ArXiv, (abs/2412.08243).

Li, H., Li, X., & al., P. W. (2024). Machine Learning Big Data Set Analysis Reveals C–C Electro-Coupling Mechanism.

Li, S., Cai, Q., & al., F. Z. (2024). PP-SSL: Priority-Perception Self-Supervised Learning for Fine-Grained Recognition.

Li, X., & Lucey, S. (2024). Fast kernel scene flow.

Li, Y., Deng, J., & al., Y. X. (2024). FARFusion V2: A Geometry-based Radar-Camera Fusion Method on the Ground for Roadside Far-Range 3D Object Detection. Proceedings of the 32nd ACM International Conference on Multimedia, 8421-8430.

Li, Y., Pang, G., & al., W. S. (2024). CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. ArXiv, (abs/2403.10245).

Li, Y., Wang, Z., Liu, Y., Wang, L., Liu, L., & Zhou, L. (2024). KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. Lecture Notes in Computer Science, 382-392.

Li, Y., Yu, J., Gai, K., Liu, B., Xiong, G., & Wu, Q. (2024). T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. ArXiv, (abs/2408.11432).

Li, Z., Liang, W., Dong, C., Chen, W., & Huang, D. (2024). Correlation Analysis of Adversarial Attack in Time Series Classification. International Conference on Advanced Data Mining and Applications, 281-296.

Li, Z., Piao, S., Dong, C., & Chen, W. (2024). Robustness Analysis on Self-ensemble Models in Time Series Classification. Australasian Database Conference, 3-16.

Li, Z., Piao, S., Dong, C., & Chen, W. (2024). Robustness Analysis on Self-ensemble.

Liang, W., Dong, C., Zheng, L., Li, Z., Zhang, W., & Chen, W. (2024). Calibrating Deep Neural Network using Euclidean Distance. ArXiv, (abs/2410.18321).

Liang, W., Li, Z., & Chen, W. (2024). Enhancing Financial Market Predictions: Causality-Driven Feature Selection. ArXiv, (abs/2408.01005).

Liao, M., Lu, H., & al., X. Z. (2024). Evaluation of Text-to-Video Generation Models: A Dynamics Perspective. ArXiv, (abs/2407.01094).

Liao, Z., Hengel, A., & Verjans, J. W. (2024). Medical visual question answering.

Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2024). Instance-dependent Label Distribution Estimation for Learning with Label Noise. International Journal of Computer Vision.

Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2024). Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical image analysis, (92),           103028        .

Lin, C., Garg, S., Chin, T., & Dayoub, F. (2024). Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. ArXiv, (abs/2409.16850).

Lin, D., Chen, Y., & al., Y. Q. (2024). A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data. Comput. Electron. Agric., (221), 108989.

Lin, L., Jones, T. W., & al., T. C. Y. (2024). Hydrogen bonding in perovskite solar cells. Matter.

Lin, W., Deng, Y., & al., Y. G. (2024). CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. J. Comput. Sci. Technol., (39), 460-471.

Lin, Y., Liu, L., & Shi, J. (2024). Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. ArXiv, (abs/2412.00818).

Lin, Y., Xu, H., Liu, L., & Shi, J. Q. (2024). A Simple-but-effective Baseline for Training-free Class-Agnostic Counting. ArXiv, (abs/2403.01418).

Liu, L., Wang, Z., Phan, M. H., Zhang, B., Ge, J., & Liu, Y. (2024). BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1051-1061.

Liu, W., Li, Z., & Chen, W. (2024). Evaluating Model Robustness Using Adaptive Sparse L0 Regularization. ArXiv, (abs/2408.15702).

Liu, X., Li, G., & al., Y. Q. (2024). Weakly Supervised Video Individual Counting. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19228-19237.

Liu, X., Li, G., & al., Y. Q. (2024). Consistency-Aware Anchor Pyramid Network for Crowd Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-15.

Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2024). Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI. Revista Panamericana de Salud Pública, (48), 1.

Liu, Y., Chen, Y., Wang, H., Belagiannis, V., Reid, I., & Carneiro, G. (2024). ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ArXiv, (abs/2407.07171).

Liu, Y., Li, Y., & al., Z. W. (2024). ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss.

Liu, Y., Li, Y., & al., Z. W. (2024). A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis. Meta-Radiology, 4(2), 100099.

Liu, Y., Wang, Z., & al., Y. L. (2024). MRScore: Evaluating Medical Report with LLM-Based Reward System. International Conference on Medical Image Computing and Computer-Assisted Intervention, 283-292.

Liu, Y., Wang, Z., & al., Y. L. (2024). MRScore: Evaluating Radiology Report Generation with LLM-based Reward System. ArXiv, (abs/2404.17778).

Liu, Y., Zhang, Z., & al., D. G. (2024). Identifiable Latent Neural Causal Models. ArXiv, (abs/2403.15711).

Liu, Y., Zhang, Z., & al., D. G. (2024). Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. ArXiv, (abs/2402.06223).

Liu, Z. (2024). Retrieving Images through Bi-modal Visual and Language Queries.

Liu, Z., Sun, W., Teney, D., & Gould, S. (2024). Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res., (2024).

Loschky, L., Chandran, P., & al., B. H. (2024). Keeping An Eye on On-line Learning: Attention Matters.

Lu, C., Liu, Z., & Koniusz, P. (2024). OpenKD: Opening Prompt Diversity for Zero-and Few-shot Keypoint Detection.

Lu, H., Wu, X., & al., S. W. (2024). Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention. ArXiv, (abs/2412.03520).

Lu, Z., Xie, Y., Zeng, Q., Lu, M., Wu, Q., & Xia, Y. (2024). Spot the Difference: Difference Visual Question Answering with Residual Alignment. International Conference on Medical Image Computing and Computer-Assisted Intervention, 649-658.

Ma, C., Wang, H., & al., Z. Q. (2024). Learning To Sample the Meta-Paths for Social Event Detection. ArXiv, (abs/2411.12588).

Ma, C., Zhang, W. E., Pitawela, D., Zhuang, H., & Shu, Y. (2024). Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation. ArXiv, (abs/2407.11948).

Ma, C., Zhang, W. E., Wang, H., Zhuang, H., & Guo, M. (2024). Disentangling Specificity for Abstractive Multi-document Summarization. 2024 International Joint Conference on Neural Networks (IJCNN), 1-8.

Ma, H., & Chen, W. (2024). Improving Time Series Classification with Representation Soft Label Smoothing. ArXiv, (abs/2408.17010).

Ma, X., Bhalgat, Y., & al., B. S. (2024). When llms step into the 3d world: A survey and meta-analysis of 3d tasks via multi-modal large language models.

Ma, Y., Qing, L., Li, G., Qi, Y., Sheng, Q. Z., & Huang, Q. (2024). Retrieval Enhanced Zero-Shot Video Captioning.

Ma, Y., Zhu, Z., & al., Y. Q. (2024). Style-aware two-stage learning framework for video captioning. Knowl. Based Syst., (301), 112258.

Mallick, P., Dayoub, F., & Sherrah, J. (2024). Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection. ArXiv, (abs/2401.05594).

Mares, L., Podgorski, S., & Reid, I. (2024). Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning. ArXiv, (abs/2410.18462).

Martindale, A. P. L., Llewellyn, C. D., & al., R. O. V. (2024). Author Correction: Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines. Nature Communications, (15).

Martindale, A. P. L., Ng, B., & al., V. N. (2024). Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines. Nature Communications, (15).

McLeod, S., Chng, C. K., & al., T. O. (2024). Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 6760-6769.

Mccradden, M., & Stedman, I. (2024). Explaining decisions without explainability? Artificial intelligence and medicolegal accountability. Future Healthcare Journal, (11).

Mcdonnell, M. D., Gong, D., Abbasnejad, E., & Hengel, A. (2024). Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. ArXiv, (abs/2403.07356).

Mehan, Y., Gupta, K., Jayanti, R., Govil, A., Garg, S., & Krishna, M. (2024). QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 13311-13317.

Meoni, G., Märtens, M., & al., D. D. (2024). The OPS-SAT case: A data-centric competition for onboard satellite image classification. Astrodynamics, 4.0(8), 507-528.

Miao, Q., Graikos, A., Zhang, J., Mondal, S., Hoai, M., & Samaras, D. (2024). Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following. European Conference on Computer Vision, 439-457.

Mohammadi, B., Hong, Y., Qi, Y., Wu, Q., Pan, S., & Shi, J. (2024). Augmented Commonsense Knowledge for Remote Object Grounding. AAAI Conference on Artificial Intelligence, 4269-4277.

Mohamud, A., & McCradden, M. (2024). Equitable Child Health: Enabling Broad Ethical Inquiry in Pediatric Care by Understanding the Clinical Parameters of Social License for Reuse of Clinical Data.

Mohamud, A., & McCradden, M. (2024). Bringing the Voices of Children and Youth into Ethical Deliberations Concerning Artificial Intelligence in Healthcare.

Mondal, S., Ahn, S., & al., Z. Y. (2024). Look Hear: Gaze Prediction for Speech-directed Human Attention. European Conference on Computer Vision, 236-255.

Monteil, J., Vaskovych, V., Lu, W., Majumder, A., & Hengel, A. (2024). MARec: Metadata Alignment for cold-start Recommendation. 18th ACM Conference on Recommender Systems, 401-410.

Mordaunt, D. A., Johnson, N., Verghese, S., Parker, R., Gibb, K., & Palmer, L. J. (2024). Navigating Medication Safety with Electronic Medical Records: Insights from a Dual-Phase Implementation in Paediatric, Neonatal and Maternity Care. medRxiv.

Märtens, M., Farries, K., Culton, J., & Chin, T. (2024). Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms. ArXiv, (abs/2408.16971).

Nagarajan, P., Kurniansyah, N., & al., J. L. (2024). Gene-Excessive Sleepiness Interactions Suggest Treatment Targets for Obstructive Sleep Apnea Subtype. medRxiv.

Nankivell, V., Vidanapathirana, A. K., & al., A. H. (2024). Targeting macrophages with multifunctional nanoparticles to detect and prevent atherosclerotic cardiovascular disease. Cardiovascular Research, 8(120), 819-838.

Narasimhaswamy, S., Bhattacharya, U., Chen, X., Dasgupta, I., Mitra, S., & Hoai, M. (2024). HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2468-2479.

Narasimhaswamy, S., Nguyen, H. A., Huang, L., & Hoai, M. (2024). Hoist-former: Hand-held objects identification segmentation and tracking in the wild.

Nguyen, B. L., Doan, A., & al., T. C. (2024). Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Transactions on Intelligent Transportation Systems, 9(25), 11635-11647.

Nguyen, D. V. T., Tran, A., Vu, H., Pham, C., & Hoai, M. (2024). Driver Attention Tracking and Analysis. ArXiv, (abs/2404.07122).

Nguyen, H. H., Vuong, A., Nguyen, A., Reid, I., & Vu, M. (2024). GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning. ArXiv, (abs/2409.14403).

Nguyen, M. (2024). Enhancing Multilingual Information Extraction Towards Global Linguistic Inclusivity.

Nguyen, P. D. A., Do, A., & Hoai, M. (2024). Detecting Omissions in Geographic Maps through Computer Vision. 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 1-6.

Nguyen, T., Doan, A., Cai, Z., & Chin, T. (2024). Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover. Neural Information Processing Systems.

Nguyen, T., Huynh, T., Phan, M. H., Nguyen, Q. V. H., & Nguyen, P. L. (2024). CARER-ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction.

Nguyen, T., Le, C. V., Nguyen, M., Nguyen, G., Lien, T. T. H., & Nguyen, O. (2024). The organisational impact of agility: a systematic literature.

Nguyen, V. T. D., Tran, T. A., Pham, V. C., Nguyen, M. H., & Bui, H. H. (2024). Method and system for training a machine learning model for point of gaze prediction.

Ning, Y., Liu, X., & al., G. S. C. (2024). An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI.. Nature medicine.

Nojoud, A., & Yuhao, L. (2024). GPT-4 Attempting to Attack AI-Text Detectors. Applied Informatics, 154-170.

Oliveira, R., Sejdinovic, D., Howard, D., & Bonilla, E. V. (2024). Bayesian Adaptive Calibration and Optimal Design. ArXiv, (abs/2405.14440).

Perakakis, N., Bornstein, S., & al., A. B. (2024). Efficacy of finerenone in patients with type 2 diabetes, chronic kidney disease and altered markers of liver steatosis and fibrosis: A FIDELITY subgroup analysis. Diabetes, (26), 191 - 200.

Petashvili, D., Wang, H., & al., A. D. (2024). Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5.

Pham, B., Tran, P., Tran, A., Pham, C., Nguyen, R., & Hoai, M. (2024). Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2804-2813.

Pham, C., Dung, H. A., & al., C. C. N. (2024). MetaAug: Meta-Data Augmentation for Post-Training Quantization. ArXiv, (abs/2407.14726).

Pham, V. C., Nguyen, C. C., Le, T., Phung, D. Q., Carneiro, G., & Do, T. (2024). Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. ArXiv, (abs/2407.02721).

Phan, V. M. H., Xie, Y., & al., B. Z. (2024). Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. International Conference on Medical Image Computing and Computer-Assisted Intervention, 690-700.

Phan, V. M. H., Xie, Y., & al., Y. Q. (2024). Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11492-11501.

Pipicella, J. L., Gu, B., Palmer, L., Connor, S. J., Wilson, W., & Andrews, J. M. (2024). Assessing Patient-Perceived Burden Of Disease In Crohn’s Disease: A Novel Scoring Approach In A Real-World Australasian Cohort.

Pipicella, J., Gu, B., Palmer, L., Connor, S. J., Wilson, W. E., & Andrews, J. M. (2024). Tu1866 ASSESSING PATIENT-PERCEIVED BURDEN OF DISEASE IN CROHN'S DISEASE: A NOVEL SCORING APPROACH IN A REAL-WORLD AUSTRALASIAN COHORT. Gastroenterology.

Pipicella, J., Gu, B., Palmer, L., Connor, S., Wilson, W., & Andrews, J. (2024). P529 Assessing patient-perceived burden of disease in Crohn’s disease: a novel scoring approach in a real-world Australasian cohort. Journal of Crohn's and Colitis.

Pooshideh, M., Beheshti, A., & al., Y. Q. (2024). Presentation Attack Detection: A Systematic Literature Review. ACM Comput. Surv., (57), 25:1-25:32.

Qiao, Y., Liu, Q., Liu, J., Liu, J., & Wu, Q. (2024). LLM as Copilot for Coarse-Grained Vision-and-Language Navigation. European Conference on Computer Vision, 459-476.

Qiao, Y., Lyu, W., & al., H. W. (2024). Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs. ArXiv, (abs/2409.18794).

Qiao, Y., Yu, Z., & al., L. G. (2024). VL-Mamba: Exploring State Space Models for Multimodal Learning. ArXiv, (abs/2403.13600).

Qu, X., Yu, J., & al., K. G. (2024). Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning. ACM Multimedia, 4581-4590.

Qu, Y., Yang, J., Chen, W., Jiao, Y., Yang, L., & Ma, C. (2024). Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. International Conference on Advanced Data Mining and Applications, 319-334.

Qu, Y., Yang, J., Zhang, W., Chen, W., & Yu, H. Q. (2024). Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. 2024 IEEE International Conference on Web Services (ICWS), 45-54.

Rahman, A., Roy, K., Maliha, R., & Chowdhury, T. (2024). A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs. Knowledge Discovery and Data Mining, 2479-2490.

Ramasinghe, S., Shevchenko, V., Avraham, G., & Hengel, A. V. (2024). BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 5(38), 4641-4649.

Ramasinghe, S., Shevchenko, V., Avraham, G., Husain, H., & Hengel, A. (2024). Improving the Convergence of Dynamic NeRFs via Optimal Transport. International Conference on Learning Representations.

Rana, K., Abou-Chakra, J., Garg, S., Lee, R., Reid, I., & Suenderhauf, N. (2024). Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames. ArXiv, (abs/2410.12124).

Rana, K., Beecher, M., & al., C. C. (2024). Artificial intelligence to automate assessment of ocular and periocular measurements. European Journal of Ophthalmology, 1(35), 346-351.

Rebello, N. S., Munsell, J., & al., P. C. (2024). Mapping students’ self-reported cognitive load, situational engagement, and attentional-cognitive states in an online multimedia learning module.

Ren, X., Wu, B., & Liu, L. (2024). I Learn Better If You Speak My Language: Enhancing Large Language Model Fine-Tuning with Style-Aligned Response Adjustments. ArXiv, (abs/2402.11192).

Ren, X., Wu, B., & Liu, L. (2024). I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 10225-10245.

Repasky, B., Abbasnejad, E., & Dick, A. (2024). BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model. Neural Information Processing Systems.

Rivera, S. C., Liu, X., Chan, A., Denniston, A. K., & Calvert, M. J. (2024). Directrices para los protocolos de ensayos clínicos de intervenciones con inteligencia artificial: la extensión SPIRIT-AI. Revista Panamericana de Salud Pública, (48), 1.

Rodda, M., Mcleod, S., Pham, K. C., & Chin, T. (2024). Camera-Pose Robust Crater Detection from Chang'e 5. ArXiv, (abs/2406.04569).

Rodriguez-Opazo, C., Abbasnejad, E., Teney, D., Marrese-Taylor, E., Damirchi, H., & Hengel, A. (2024). Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. ArXiv, (abs/2405.17139).

Rorden, C., Webster, M., & al., C. D. (2024). niimath and fslmaths: replication as a method to enhance popular neuroimaging tools.. Aperture neuro, (4).

Ruchka, P., Kushwaha, A., & al., J. A. M. (2024). 3D-printed axicon enables extended depth-of-focus intravascular optical coherence tomography.

Saad, F. H., Farook, T. H., & al., S. A. (2024). Facial and mandibular landmark tracking with habitual head posture estimation using linear and fiducial markers. Healthcare Technology Letters, 1(11), 21-30.

Sanjay, H. S., & Niranjanamurthy, M. (2024). Medical Imaging.

Saratchandran, H., Chng, S., & Lucey, S. (2024). Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. ArXiv, (abs/2402.04783).

Saratchandran, H., Chng, S., & Lucey, S. (2024). Architectural Strategies for the optimization of Physics-Informed Neural Networks. ArXiv, (abs/2402.02711).

Saratchandran, H., Ramasinghe, S., & Lucey, S. (2024). From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 413-422.

Saratchandran, H., Ramasinghe, S., Shevchenko, V., Long, A., & Lucey, S. (2024). A Sampling Theory Perspective on Activations for Implicit Neural Representations. ArXiv, (abs/2402.05427).

Saratchandran, H., Wang, T. X., & Lucey, S. (2024). Weight Conditioning for Smooth Optimization of Neural Networks. European Conference on Computer Vision, 310-325.

Saratchandran, H., Zheng, J., Ji, Y., Zhang, W., & Lucey, S. (2024). Rethinking Softmax: Self-Attention with Polynomial Activations. ArXiv, (abs/2410.18613).

Seidenschwarz, J., Osep, A., Ferroni, F., Lucey, S., & Leal-Taix'e, L. (2024). SeMoLi: What Moves Together Belongs Together. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14685-14694.

Sejdinovic, D. (2024). An Overview of Causal Inference using Kernel Embeddings. ArXiv, (abs/2410.22754).

Severin, B., Lennon, D., & al., L. C. (2024). Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning. Scientific Reports, (14).

Sghirripa, S., Bhalerao, G., & al., L. G. (2024). Evaluating Traditional, Deep Learning, and Subfield Methods for Automatically Segmenting the Hippocampus from MRI. medRxiv.

Shahrbabaki, S. S., Dharmaprani, D., & al., C. S. (2024). O066 Generalized linear model for characterisation of nocturnal arrhythmia. Sleep Advances: A Journal of the Sleep Research Society, (5), A24 - A24.

Shahrbabaki, S., Dharmaprani, D., & al., K. T. (2024). PO-02-047 DYNAMIC MODELLING OF NOCTURNAL ARRHYTHMIA AVALANCHES: A GENERALIZED LINEAR MODEL. Heart Rhythm.

Shahrbabaki, S., Dharmaprani, D., & al., K. T. (2024). Power-law properties of nocturnal arrhythmia avalanches: a novel marker for incident cardiovascular events.. Heart rhythm.

Shakeri, A., Chen, P., Shu, Y., Yang, L., Zhang, W., & Chen, W. (2024). Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. 2024 IEEE International Conference on Web Services (ICWS), 84-91.

Shamsi, A., Becirovic, R., Argha, A., Abbasnejad, E., Alinejad-Rokny, H., & Mohammadi, A. (2024). ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. ArXiv, (abs/2409.09251).

Shen, S., Zhang, C., Bialkowski, A., Chen, W., & Xu, M. (2024). CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM, 779-787.

Shen, S., Zhang, C., Zhao, Y., Bialkowski, A., Chen, W., & Xu, M. (2024). Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. ArXiv, (abs/2404.00506).

Shimizu, E., Fukumizu, K., & Sejdinovic, D. (2024). Neural-Kernel Conditional Mean Embeddings. ArXiv, (abs/2403.10859).

Shu, L., Chao, H., Hancke, G., Liu, Y., Qiao, Y., & Yang, Y. (2024). Guest Editorial of the Special Section on Physical Safety and Security for Outdoor Electronic Devices. IEEE Trans. Consumer Electron., (70), 7028-7031.

Shu, Y., Cao, X., & al., Q. C. (2024). Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. ArXiv, (abs/2402.01157).

Shu, Y., Xu, H., Zhou, Z., Hengel, A., & Liu, L. (2024). MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. ArXiv, (abs/2407.04331).

Silva, A., Moskvyak, O., & al., A. L. (2024). LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 8031-8040.

Sng, L. M., Kaphle, A., & al., M. J. O. (2024). Fine Mapping Coronary Artery Disease Loci in UK Biobank’s Whole Genome Sequencing Data by Optimising Usage of the Cloud-Based Research Analysis Platform.

Sonthalia, A., Rubinstein, A., Abbasnejad, E., & Oh, S. J. (2024). Do Deep Neural Network Solutions Form a Star Domain?. ArXiv, (abs/2403.07968).

Spek, R. W. A., Smith, W. J., & al., M. S. (2024). Detection, classification, and characterization of proximal humerus fractures on plain radiographs.. The bone & joint journal, (106-B 11),           1348-1360        .

Spek, R. W., Smith, W. J., & al., M. S. (2024). Detection, classification, and characterization of proximal humerus fractures on plain radiographs: do convolutional neural networks still outperform humans when the task becomes increasingly complex?.

Sun, M., Wang, W., & al., Y. Q. (2024). MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation. ACM Multimedia, 10853-10861.

Sun, R., Chang, J., & al., H. P. (2024). SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach. ArXiv, (abs/2411.11195).

Sun, R., Wang, H., Xue, M., & Chen, H. (2024). PPVR: A Privacy-Preserving Approach for User Behaviors in VR. 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 1055-1056.

Sun, Y., Chen, J., & al., S. Z. (2024). VRP-SAM: SAM with Visual Reference Prompt. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 23565-23574.

Sun, Y., Zhang, H., & al., Q. C. (2024). Improving Multi-modal Large Language Model through Boosting Vision Capabilities. ArXiv, (abs/2410.13733).

Sundaram, S. S., Gurajada, S., Padmanabhan, D., Abraham, S. S., & Fisichella, M. (2024). Does a language model “understand” high school math? A survey of deep learning based word problem solvers. WIREs Data Mining and Knowledge Discovery, 4.0(14).

Tan, J. L., Pitawela, D., & al., M. A. C. (2024). Exploring vision transformers for classifying early Barrett's dysplasia in endoscopic images: A pilot study on white‐light and narrow‐band imaging. JGH Open: An Open Access Journal of Gastroenterology and Hepatology, (8).

Tan, X., Wang, Z., Wang, M., Shen, D., Chen, W., & Wang, B. (2024). Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. International Conference on Database Systems for Advanced Applications, 493-502.

Tan, Z., Li, X., Zhao, Y., Zhang, Z., Shi, J. Q., & Li, H. (2024). Machine Learning‐Driven Selection of Two‐Dimensional Carbon‐Based Supports for Dual‐Atom Catalysts in CO2 Electroreduction. ChemCatChem.

Tang, Y., Qin, X., & al., J. Z. (2024). Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval. ArXiv, (abs/2412.11077).

Tang, Y., Yu, J., & al., K. G. (2024). Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval. ArXiv, (abs/2410.17393).

Tang, Y., Yu, J., Gai, K., Xiong, G., Gou, G., & Wu, Q. (2024). Manipulation Intention Understanding for Accurate Zero-Shot Composed Image Retrieval.

Teney, D., Nicolicioiu, A. M., Hartmann, V., & Abbasnejad, E. (2024). Neural Redshift: Random Networks are not Random Functions. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4786-4796.

Tian, M., Li, G., Qi, Y., Wang, S., Sheng, Q. Z., & Huang, Q. (2024). Rethink video retrieval representation for video captioning. Pattern Recognit., (156), 110744.

Tian, Y., Pu, L. Z. C. T., & al., Y. L. (2024). Detecting, localizing and classifying polyps from colonoscopy videos using deep learning. Deep Learning for Medical Image Analysis, 425-450.

Tikhomirov, L., Semmler, C., McCradden, M., Searston, R., Ghassemi, M., & Oakden-Rayner, L. (2024). Medical artificial intelligence for clinicians: the lost cognitive perspective. The Lancet Digital Health, 8(6), e589-e594.

Tikhomirov, L., Smith, L., Oakden-Rayner, L., Bird, A., Palmer, L., & Semmler, C. (2024). Large-Scale Evaluation of the Influence of AI-use on Radiologist Performance using Signal Detection Theory.

Tiver, K., Dharmaprani, D., & al., J. Q. (2024). PO-01-095 SPATIAL AUTOCORRELATION DIMENSION OF ATRIAL FIBRILLATION PREDICTS DURATION OF SINUS RHYTHM FOLLOWING ATRIAL FIBRILLATION ABLATION. Heart Rhythm.

Tiver, K., Dharmaprani, D., & al., J. Q. (2024). PO-03-079 ELECTROPHYSIOLOGIC CHARACTERISATION OF ATRIAL FIBRILLATION IN THE PRESENCE OF LEFT VENTRICULAR SYSTOLIC DYSFUNCTION. Heart Rhythm.

Tiver, K., Strong, C., & al., D. D. (2024). A real‐time signal processing software package for the electrophysiology laboratory. Journal of Cardiovascular Electrophysiology, (35), 1229 - 1231.

Tiver, K., Tonchev, I., & al., P. K. (2024). PO-01-098 POWER-LAW DISTRIBUTION OF LAMINAR SPATIOTEMPORAL INTERMITTENCY PERIODS IN HUMAN ATRIAL FIBRILLATION. Heart Rhythm.

Tonchev, I., Kuklik, P., & al., D. D. (2024). Power-Law Distribution of Spatiotemporal Intermittency: A Potential Novel Mechanism for the Emergence of Long-Range Order in Human AF. Heart, Lung and Circulation.

Tran, V., Nguyen, N., & al., N. N. (2024). Long-term development of children born to women with twin pregnancies treated with cervical pessary or vaginal progesterone: follow-up of a randomized controlled trial.

Tsuchida, R., Ong, C. S., & Sejdinovic, D. (2024). Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. ArXiv, (abs/2402.09608).

Tu, P., Zhang, X., & Ran, S. (2024). Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, (64 Suppl 1),           174        .

Turner, L. M., & Mccradden, M. (2024). Complexities in Capacity Assessment for Persons with Severe and Enduring Anorexia.. The American journal of bioethics : AJOB, (24 8),           111-113        .

Vo, V., Abbasnejad, E., & Ranasinghe, D. (2024). BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack. ArXiv, (abs/2404.05311).

Wadforth, B., Goh, J. S., & al., K. T. (2024). Predicting Spontaneous Termination of Atrial Fibrillation Based on Analysis of Standard Electrocardiograms: A Systematic Review. Annals of Noninvasive Electrocardiology, (29).

Waldman, A., Catania, C., Pisa, M., Jenkinson, M., Lenardo, M. J., & DeLuca, G. C. (2024). The prevalence and topography of spinal cord demyelination in multiple sclerosis: a retrospective study. Acta Neuropathologica, (147).

Wang, H., Butler, D., & al., Y. Z. (2024). Human–AI collaborative multi-modal multi-rater learning for endometriosis diagnosis. Physics in Medicine & Biology, 1.0(70), 015008.

Wang, H., Butler, D., & al., Y. Z. (2024). Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. Physics in medicine and biology.

Wang, H., Ma, C., & al., Y. L. (2024). Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data.

Wang, H., Ma, C., Almakky, I., Reid, I., Carneiro, G., & Yaqub, M. (2024). Rethinking Weight-Averaged Model-merging. ArXiv, (abs/2411.09263).

Wang, H., Zhu, H., & al., T. H. (2024). End-to-End Rate-Distortion Optimized 3D Gaussian Representation. Lecture Notes in Computer Science, 76-92.

Wang, K., Balmforth, C., & al., M. N. M. (2024). Coronary atherosclerotic plaque activity and risk of myocardial infarction.

Wang, K., Craig, N., & al., A. M. (2024). THE ASSOCIATION BETWEEN CORONARY ATHEROSCLEROTIC PLAQUE ACTIVITY AND VESSEL OUTCOMES: A SECONDARY ANALYSIS OF THE PRE18FFIR STUDY. Journal of the American College of Cardiology, 13(83), 1362.

Wang, L., Gall, J., Chin, T., Sato, I., & Chellappa, R. (2024). Guest Editorial: Special Issue on ACCV 2022. International Journal of Computer Vision, 12.0(132), 6207-6207.

Wang, N., Deng, J., & Jia, M. (2024). Cycle-Consistency Learning for Captioning and Grounding. Proceedings of the AAAI Conference on Artificial Intelligence, 6(38), 5535-5543.

Wang, S., Wu, J., Yuan, Z., Gao, A., & Chen, W. T. (2024). Makespan minimization for workflows with multiple privacy levels. Future Gener. Comput. Syst., (159), 39-50.

Wang, S., Zhang, H., & al., Q. Z. S. (2024). A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. IEEE Transactions on Big Data.

Wang, X., Figueredo, G., Li, R., Zhang, W., Chen, W., & Chen, X. (2024). A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. ArXiv, (abs/2405.12833).

Wang, X., Jiang, W., Fu, S., & Zhang, Y. (2024). Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius. ECML/PKDD, 375-391.

Wang, X., Zhuang, B., & Wu, Q. (2024). ModaVerse: Efficiently Transforming Modalities with LLMs. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 26596-26606.

Wang, Y., Ng, Y., & al., I. S. (2024). MAVIS: Multi-camera augmented visual-inertial SLAM using SE2 (3) based exact IMU pre-integration.

Wang, Y., Su, X., & al., Q. C. (2024). OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer. ArXiv, (abs/2407.10655).

Wang, Z., Liu, L., Weston, S. R. F., Tian, S., & Li, P. (2024). On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition. ArXiv, (abs/2407.14676).

Wang, Z., Ma, Z., & al., X. F. (2024). CORELOCKER: Neuron-level Usage Control. 2024 IEEE Symposium on Security and Privacy (SP), 2497-2514.

Wei, X., Yue, Z., & Chen, H. (2024). Physical OOP: Spatial Program Physical Objects Interactions. 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 735-736.

Wei, Y., Fu, S., Jiang, W., Kwok, J. T., & Zhang, Y. (2024). GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning. Neural Information Processing Systems.

Wen, Z., Niu, S., Li, G., Wu, Q., Tan, M., & Wu, Q. (2024). Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Transactions on Multimedia, (26), 2137-2147.

Whitbread, L., Lau, S., Palmer, L., & Jenkinson, M. (2024). Deep-diffeomorphic networks for conditional brain templates. bioRxiv.

Wu, B., Xie, Y., & al., Z. Z. (2024). XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training. ArXiv, (abs/2407.19546).

Wu, J., Bian, J., & al., X. L. (2024). GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. Lecture Notes in Computer Science, 55-71.

Wu, R., Wang, H., Chen, H., & Carneiro, G. (2024). Deep Multimodal Learning with Missing Modality: A Survey.

Wu, R., Wang, H., Chen, H., & Carneiro, G. (2024). A Comprehensive Survey on Deep Multimodal Learning with Missing Modality.

Wu, R., Wang, H., Dayoub, F., & Chen, H. (2024). Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 6(38), 6100-6108.

Wu, R., Wang, H., Dayoub, F., & Chen, H. (2024). Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. ArXiv, (abs/2312.08673).

Wu, Y., Xie, Y., Luo, X., Wu, Q., & Cai, J. (2024). Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. ACM Multimedia, 11302-11303.

Wyburd, M. K., Dinsdale, N., Jenkinson, M., & Namburete, A. I. L. (2024). Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Medical image analysis, (97),           103222        .

Wyburd, M., Consortium, I., Jenkinson, M., & Namburete, A. (2024). OC07. 03: Automated cortical analysis from third‐dimensional second trimester ultrasound scans.

Xie, Y., Chen, Q., & al., S. W. (2024). PairAug: What Can Augmented Image-Text Pairs Do for Radiology?. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11652-11661.

Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., & Wu, Q. (2024). Rethinking masked image modelling for medical image representation. Medical image analysis, (98),           103304        .

Xie, Y., Zhang, J., & al., L. L. (2024). ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Analysis, (91), 103023.

Xie, Y., Zhang, J., Xia, Y., & Wu, Q. (2024). UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, (46), 10021-10035.

Xu, G., Ge, Y., & al., M. L. (2024). What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?.

Xu, G., Ge, Y., & al., M. L. (2024). Diffusion models trained with large data are transferable visual models.

Xu, H., Chen, Q., Wang, L., & Liu, L. (2024). Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning. ArXiv, (abs/2412.10840).

Xu, Y., Li, T., Yang, Y., Chen, W., & Yue, L. (2024). An adaptive category-aware recommender based on dual knowledge graphs. Inf. Process. Manag., (61), 103636.

Yan, Q., Wang, H., & al., Y. M. (2024). Uncertainty estimation in HDR imaging with Bayesian neural networks. Pattern Recognit., (156), 110802.

Yang, F. F., Sasdelli, M., & Chin, T. (2024). Robust Fitting on a Gate Quantum Computer. ArXiv, (abs/2409.02006).

Yang, L., Shakeri, A., Pu, L., Chen, W., & Shu, Y. (2024). Efficient Clustered Federated Learning by Locality Sensitive Hashing. International Conference on Advanced Data Mining and Applications, 177-191.

Yang, L., Zhang, X., & al., X. L. (2024). Add-SD: Rational Generation without Manual Reference. ArXiv, (abs/2407.21016).

Yang, X., Zuo, Y., Ramasinghe, S., Bazzani, L., Avraham, G., & Hengel, A. (2024). ViewFusion: Towards Multi-View Consistency via Interpolated Denoising. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9870-9880.

Ye, Y., Chen, Z., Zhang, J., Xie, Y., & Xia, Y. (2024). MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model. ArXiv, (abs/2410.05905).

Yin, B., Zhao, J., & al., H. J. (2024). Adapter-Enhanced Semantic Prompting for Continual Learning. ArXiv, (abs/2412.11074).

Yin, W., Liu, Y., Shen, C., Sun, B., & Hengel, A. (2024). Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. International Journal of Computer Vision, 9(132), 4036-4051.

Yin, Y., Chen, H., Zhou, W., Deng, J., Xu, H., & Li, H. (2024). Revisiting Open-Set Panoptic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 7(38), 6747-6754.

You, Z., Zhang, X., Guo, H., Wang, J., & Li, C. (2024). Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?.

Yuan, D., Maire, F., & Dayoub, F. (2024). Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1238-1245.

Yuan, D., Maire, F., & Dayoub, F. (2024). Temporal Attention for Cross-View Sequential Image Localization. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7429-7436.

Yuan, J., Phan, M. H., Liu, L., & Liu, Y. (2024). FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 584-594.

Zaib, M., Sheng, Q. Z., Zhang, W. E., Alhazmi, E., & Mahmood, A. (2024). Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering. WISE, 3-13.

Zamboni, G., Mattioli, I., & al., Z. A. (2024). Multimodal nonlinear correlates of behavioural symptoms in frontotemporal dementia. Brain Imaging and Behavior, (18), 1226 - 1238.

Zawish, M., Albert, P., Esposito, F., Davy, S., & Abraham, L. (2024). Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 5357-5365.

Zeng, M., Smith, L., & al., A. B. (2024). Predictions for functional outcome and mortality in acute ischaemic stroke following successful endovascular thrombectomy. BMJ Neurology Open, (6).

Zeng, Q., Lu, Z., Xie, Y., Lu, M., Ma, X., & Xia, Y. (2024). Reciprocal Collaboration for Semi-supervised Medical Image Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention, 522-532.

Zeng, Q., Xie, Y., & al., Z. L. (2024). Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging, (44), 44-56.

Zeng, Q., Xie, Y., Lu, Z., & Xia, Y. (2024). A human-in-the-loop method for pulmonary nodule detection in CT scans. Visual Intelligence, (2), 1-13.

Zeng, R., Zhuo, Y., & al., J. L. (2024). Improving Video Moment Retrieval by Auxiliary Moment-Query Pairs with Hyper-Interaction. IEEE Transactions on Circuits and Systems for Video Technology.

Zhang, B., & Qiao, Y. (2024). AI, Sensors, and Robotics for Smart Agriculture. Agronomy.

Zhang, B., Liu, Q., & al., J. Z. (2024). Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. AAAI Conference on Artificial Intelligence, 6997-7005.

Zhang, C., Chen, W., Zhang, W., & Xu, M. (2024). Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. ACM Transactions on Intelligent Systems and Technology.

Zhang, C., Chen, W., Zhang, W., & Xu, M. (2024). Countering Relearning with Perception Revising Unlearning. Asian Conference on Machine Learning, 1336-1351.

Zhang, C., Shen, S., Chen, W., & Xu, M. (2024). Toward Efficient Data-Free Unlearning. ArXiv, (abs/2412.13790).

Zhang, C., Shen, S., Zhao, Y., Chen, T., & Xu, M. (2024). GENIU: A Restricted Data Access Unlearning for Imbalanced Data. ArXiv, (abs/2406.07885).

Zhang, D., Tsuchida, R., & Sejdinovic, D. (2024). Label Distribution Learning using the Squared Neural Family on the Probability Simplex. ArXiv, (abs/2412.07324).

Zhang, F. Z., Albert, P., Rodriguez-Opazo, C., Hengel, A., & Abbasnejad, E. (2024). Knowledge Composition using Task Vectors with Learned Anisotropic Scaling. ArXiv, (abs/2407.02880).

Zhang, G. C. Y., Wang, H., & al., Y. X. (2024). Unpaired Multi-modal Multi-label Classification for Diagnosing Endometriosis Signs.

Zhang, H., Ma, Y., Shi, Y., Qiao, Y., & Wang, M. (2024). A framework for automatic analysis of sheep ruminating behavior based on keypoint detection. 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 1-6.

Zhang, H., Qiao, Y., & Wang, M. (2024). Data Augmentation Guided Decouple Knowledge Distillation for Low-Resolution Fine-Grained Image Classification. Chinese Conference on Pattern Recognition and Computer Vision, 379-392.

Zhang, J., Cherian, A., Rodriguez, C., Deng, W., & Gould, S. (2024). Manual-PA: Learning 3D Part Assembly from Instruction Diagrams. ArXiv, (abs/2411.18011).

Zhang, J., Wang, K., & al., R. X. (2024). NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation. ArXiv, (abs/2402.15852).

Zhang, J., Wang, M., Jiang, H., Zhang, X., Yan, C., & Zeng, D. (2024). STAT: Multi-Object Tracking Based on Spatio-Temporal Topological Constraints. IEEE Transactions on Multimedia, (26), 4445-4457.

Zhang, J., Wang, M., Jiang, H., Zhang, X., Yan, C., & Zeng, D. (2024). STAT: Multi-Object Tracking Based on Spatio-Temporal Topological Constraints. IEEE Transactions on Multimedia, (26), 4445-4457.

Zhang, J., Zhang, F. Z., Rodriguez-Opazo, C., Ben-Shabat, Y., Cherian, A., & Gould, S. (2024). Temporally Grounding Instructional Diagrams in Unconstrained Videos. ArXiv, (abs/2407.12066).

Zhang, M., Bouabid, S., Ong, C. S., Flaxman, S., & Sejdinovic, D. (2024). Indirect Query Bayesian Optimization with Integrated Feedback. ArXiv, (abs/2412.13559).

Zhang, S., Deng, J., Bai, L., Li, H., Ouyang, W., & Zhang, Y. (2024). HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation. International Journal of Computer Vision, 7(132), 2585-2599.

Zhang, S., Huang, D., & al., J. D. (2024). Agent3D-Zero: An Agent for Zero-shot 3D Understanding. ArXiv, (abs/2403.11835).

Zhang, W., Li, Y., & al., Y. Q. (2024). Effective Tuning Strategies for Generalist Robot Manipulation Policies. ArXiv, (abs/2410.01220).

Zhang, X., Zhang, Z., & al., A. C. (2024). Physics-informed data-driven unsteady Reynolds-averaged Navier–Stokes turbulence modeling for particle-laden jet flows. Physics of Fluids.

Zhang, Y., Chang, R., Mao, W., Zuo, J., Liu, L., & Han, Y. (2024). Challenges of Automating Interior Construction Progress Monitoring. Journal of Construction Engineering and Management.

Zhang, Y., Deslandes, A., & al., J. A. (2024). OP07. 05: Artificial intelligence to detect pouch of Douglas obliteration from magnetic resonance imaging by combining unpaired transvaginal ultrasound videos.

Zhang, Y., Liao, K., Liao, Z., & Guo, L. (2024). Enhancing Policy Gradient for Traveling Salesman Problem with Data Augmented Behavior Cloning. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 327-338.

Zhang, Y., Ma, Z., & al., J. L. (2024). Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. ArXiv, (abs/2407.07035).

Zhang, Y., Xie, Y., Wang, H., Avery, J., Hull, M., & Carneiro, G. (2024). A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification. ArXiv, (abs/2409.12390).

Zhang, Z., Gao, H., & al., A. L. (2024). KMM: Key Frame Mask Mamba for Extended Motion Generation. ArXiv, (abs/2411.06481).

Zhang, Z., Li, L., & al., G. C. (2024). From Speaker to Dubber: Movie Dubbing with Prosody and Duration Consistency Learning. Proceedings of the 32nd ACM International Conference on Multimedia, 7523-7532.

Zhang, Z., Li, L., & al., J. Z. (2024). Generating High-Quality Symbolic Music Using Fine-Grained Discriminators. Lecture Notes in Computer Science, 332-344.

Zhang, Z., Liu, A., & al., Q. C. (2024). InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation. ArXiv, (abs/2407.10061).

Zhang, Z., Liu, A., Reid, I., Hartley, R., Zhuang, B., & Tang, H. (2024). Motion mamba: Efficient and long sequence motion generation.

Zhang, Z., Nguyen, C. C., Wells, K., Do, T., & Carneiro, G. (2024). Coverage-Constrained Human-AI Cooperation with Multiple Experts. ArXiv, (abs/2411.11976).

Zhang, Z., Qi, X., & al., B. Z. (2024). SegReg: Segmenting OARs by Registering MR Images and CT Annotations. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5.

Zhang, Z., Qi, X., & al., M. C. (2024). JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. Annual Conference on Medical Image Understanding and Analysis, 158-172.

Zhang, Z., Truong, V. Q., & Hoai, M. (2024). Efficiency-preserving Scene-adaptive Object Detection.

Zhao, Y., Liao, Z., & al., Y. L. (2024). A Landmark-Based Approach for Instability Prediction in Distal Radius Fractures. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5.

Zhao, Y., Zhang, L., Deng, J., & Zhang, Y. (2024). BEV-radar: bidirectional radar-camera fusion for 3D object detection. JUSTC, 1(54), 0101.

Zhao, Y., Zhang, M., Zhang, C., Chen, W., Ye, N., & Xu, M. (2024). A boosting framework for positive-unlabeled learning. Statistics and Computing, 1(35).

Zhao, Y., Zhang, P., & al., X. Y. (2024). Occluded Person Retrieval with Hierarchical Feature Optimization. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 1-8.

Zheng, J., Li, X., & Lucey, S. (2024). Convolutional Initialization for Data-Efficient Vision Transformers. ArXiv, (abs/2401.12511).

Zheng, J., Li, X., & Lucey, S. (2024). Structured Initialization for Attention in Vision Transformers. ArXiv, (abs/2404.01139).

Zheng, L., Dong, C., & al., W. Z. (2024). Revisited Large Language Model for Time Series Analysis through Modality Alignment. ArXiv, (abs/2410.12326).

Zheng, L., Dong, C., Zhang, W., Chen, X., Yue, L., & Chen, W. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. International Conference on Information and Knowledge Management, 3395-3404.

Zheng, L., Li, Z., & al., C. D. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. International Conference on Information and Knowledge Management, 3405-3414.

Zhong, Q., Ding, G., & Yao, A. (2024). OnlineTAS: An Online Baseline for Temporal Action Segmentation. ArXiv, (abs/2411.01122).

Zhou, G., Hong, Y., & Wu, Q. (2024). NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models. AAAI Conference on Artificial Intelligence, 7641-7649.

Zhou, G., Hong, Y., Wang, Z., Wang, X. E., & Wu, Q. (2024). NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models. European Conference on Computer Vision, 260-278.

Zhou, G., Hong, Y., Wang, Z., Zhao, C., Bansal, M., & Wu, Q. (2024). SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts. ArXiv, (abs/2412.05552).

Zhou, W., Deng, J., & al., N. S. (2024). Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding. IEEE Transactions on Multimedia, (26), 8291-8296.

Zhou, Z., Xu, H., Shu, Y., & Liu, L. (2024). Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3817-3827.

Zhu, H. Y., Chen, H., & Lin, C. (2024). Understanding the effects of stress on the P300 response during naturalistic simulation of heights exposure. PLOS ONE, (19).

Zhu, J., Qiao, Y., Zhang, S., He, X., Wu, Q., & Liu, J. (2024). MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation. ArXiv, (abs/2409.18800).

Zhuang, H., Zhang, W. E., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. ACM Transactions on Intelligent Systems and Technology.

Zhuang, H., Zhang, W. E., Dong, C., Yang, J., & Sheng, Q. Z. (2024). Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. Findings, 1589-1600.

Zhuang, H., Zhang, W. E., Xie, L., Chen, W., Yang, J., & Sheng, Q. Z. (2024). Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. North American Chapter of the Association for Computational Linguistics, 7768-7790.

Zhuang, H., Zhang, W. E., Yang, J., Chen, W., & Sheng, Q. Z. (2024). Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. International Conference on Information and Knowledge Management, 3591-3601.

Zou, J., Guo, M., & al., Y. T. (2024). Semantic Role Labeling Guided Out-of-distribution Detection. ArXiv, (abs/2305.18026).

2023 Annual Report

Now in its sixth year, AIML has solidified the University of Adelaide’s position as a global leader in AI, advancing research excellence and innovation.

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Academic publications

Abbasnejad, I., Zambetta, F., Salim, F., Wiley, T., Chan, J., Gallagher, R., Abbasnejad, E., SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. 2023 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Chen, L., Zhang, Y., Song, Y., Shan, Y., Liu, L. Improved Test-Time Adaptation for Domain Generalization. CVPR 2023

Chen, L., Zhang, Y., Song, Y., Shan, Y., Liu, L., Improved Test-Time Adaptation for Domain Generalization. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Cong, G., Li, L., Qi, Y., Zha, Z., Wu, Q., Wang, W., Jiang, B., Yang, M., Huang, Q. Learning To Dub Movies via Hierarchical Prosody Models.  2023 CVPR Poster Session 

Cordeiro, F., Sachdeva, R., Belagiannis, V., Reid, I., Carneiro, G. Longremix: Robust learning with high confidence samples in a noisy label environment. Pattern recognition Volume 133

Deng, J., Yang, Z., Liu, D., Chen, T., Zhou, W., Zhang, Y., Li, H., Ouyang, W. Transvg++: End-to-end visual grounding with language conditioned vision transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

Garg, A., Nguyen, C., Felix, R., Do, T., Carneiro, G. Instance-Dependent Noisy Label Learning via Graphical Modelling. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Herath, S., Fernando, B., Abbasnejad, E., Hayat, M., Khadivi, S., Harandi, M., Rezatofighi, H., Haffari, G. Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. (PDF attachment)

Kalwar,S., Patel, D., Aanegola, A., Konda, K., Garg, S., Krishna, K. GDIP: gated differentiable image processing for object detection in adverse conditions. 2023 IEEE International Conference on Robotics and Automation (ICRA)  

Ke, L., Ye, M., Danelljan, M., Tai, Y., Tang, C., Yu, F. Segment Anything in High Quality. Advances in Neural Information Processing Systems, Volume 36

Li, H., Jiang, Y., Li, X., Davey, K., Zheng, Y., Jiao, Y., Qiao, S. C2+ Selectivity for CO2 Electroreduction on Oxidized Cu-Based Catalysts. Journal of the American Chemical Society Volume 145

Lin, Z., Zhang, D., Tao, Q., Shi, D., Haffari, G., Wu, Q., He, M., Ge, Z. Medical visual question answering: A survey.  Artificial Intelligence in Medicine Volume 143

McCradden, M., Odusi, O., Joshi, S., Akrout, I., Ndlovu, K., Glocker, B., Maicas, G., Liu, X., Mazwi, M., Garnett, T., Oakden-Rayner, L., Alfred, M., Sihlahla, I., Shafei, O., Goldenberg, A. What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning. JustEFAB. FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency

McDonnell, M., Gong, D., Parveneh, A., Abbasnejad, E., van den Hengel, A. RanPAC: Random Projections and Pre-trained Models for Continual Learning. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Dec 2023

Merkin, A., Sghirripa, S., Graetz, L., Smith, A., Hordacre, B., Harris, R., Pitcher, J., Semmler, J., Rogasch, N., Goldsworthy, M. Do age-related differences in aperiodic neural activity explain differences in resting EEG alpha? Neurobiology of Aging Volume 121

Nassar, I., Hayat, M., Abbasnejad, E., Rezatofighi, H., Haffari, G. ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning. Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Park, T., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T., Izzo, D., D’Amico, S. Satellite pose estimation competition 2021: Results and analyses. Acta Astronautica Volume 204

Qiao, Y., Guo, Y., He, D. Cattle body detection based on YOLOv5-ASFF for precision livestock farming. Computers and Electronics in Agriculture Volume 204

Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., Wu, Q. HOP+: History-enhanced and Order-aware Pre-training for Vision-and-Language Navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 45

Qiao, Y., Yu, Z., Wu, Q., Parameter-Efficient Transfer Learning for Vision-and-Language Navigation. Accepted by International Conference on Computer Vision (ICCV) 2023

Ramasinghe, S., Lucey, S. A learnable radial basis positional embedding for coordinate-MLPs. Proceedings of the AAAI Conference on Artificial Intelligence 

Rana, K., Haviland, J., Garg, S., Abou-Chakra, J., Reid, I., Suenderhauf, N. Sayplan: Grounding large language models using 3d scene graphs for scalable task planning. 

Sachdeva, R., Cordeiro, F., Belagiannis, V., Reid, I., Carneiro, G. ScanMix: learning from severe label noise via semantic clustering and semi-supervised learning. Pattern recognition Volume 134

Saratchandran, H., Chng, S., Ramasinghe, S., MacDonald, L., Lucey, S. Curvature-Aware Training for Coordinate Networks. Proceedings of the IEEE/CVF International Conference on Computer Vision

Schubert, S., Neubert, P., Garg, S., Milford, M., Fischer, T. Visual Place Recognition: A Tutorial. IEEE Robotics & Automation Magazine (RAM) 

Shu, Y., van den Hengel, A., Liu, L. Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems.  CVPR 2023

Smith, L., Oakden-Rayner, L., Bird, A., Zeng, M., To, M., Mukherjee, S., Palmer, L., Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis. Lancet Digital Health (2023/12)

Sun, L., Bian, J., Zhan, H., Yin, W., Reid, I., Shen, C. Sc-depthv3: Robust self-supervised monocular depth estimation for dynamic scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence  

Suo, W., Sun M., Liu, W., Gao, Y., Wang P., Zhang, Y., Wu, Q. S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning. CVPR 2023

Teney, D., Abbasnejad, E., Lin, Y., Oh, S., ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Tian, Y., Liu, F., Pang, G., Chen, Y., Liu, Y., Verjans, J., Singh, R., Carneiro, G. Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical image analysis Volume 90

Tian, Y., Pang, G., Liu, Y., Wang, C., Chen, Y., Liu, F., Singh, R., Verjans, J., Wang, M., Carneiro, G. Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder. International Workshop on Machine Learning in Medical Imaging Springer Nature Switzerland 

Wang, C., MacDonald, L., Jeni, L., Lucey, S. Flow Supervision for Deformable NeRF. CVPR 2023 Poster Session

Wang, H., Chen, Y., Ma, C., Avery, J., Hull, L., Carneiro, G. Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling. 2023 CVPR Poster

Wang, Q., Liu, L., Jing, C., Chen, H., Liang, G.,  Wang, P., Shen, C. Learning Conditional Attributes for Compositional Zero-Shot Learning. 2023 CVPR Poster

Wang, Q., Liu, L., Jing, C., Chen, H., Liang, G., Wang, P., Shen, C. Learning Conditional Attributes for Compositional Zero-Shot Learning. 2023 Conference on Computer Vision and Pattern Recognition (CVPR)

Wang, S., Zhao, X., Xu, H., Chen, Z., Yu, D., Chang, J., Yang, Z., Zhao, F. Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View. 2023 Conference on Computer Vision and Pattern Recognition (CVPR)

Wang, W., Liu, L., Wang, L., Zhou, L. Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens.  2023 CVPR 

Wang, X., Wang, W., Cao, Y., Shen, C., Huang, T. Images Speak in Images: A Generalist Painter for In-Context Visual Learning. 2023 Conference on Computer Vision and Pattern Recognition (CVPR)

Wang, Y., Deng, J., Li, Y., Hu, J., Liu, C., Zhang, Y., Ji., Ouyang, W., Zhang, Y. Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection. 2023 Conference on Computer Vision and Pattern Recognition (CVPR)

Wang, Z., Liu, L., Wang, L., Zhou, L. METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 

Wilson, S., Fischer, T., Sünderhauf, N., Dayoub, F. Hyperdimensional feature fusion for out-of-distribution detection. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 

Yan, Q., Liu, S., Xu, S., Dong, C., Li, Z., Shi, J., Zhang, Y., Dai, D. 3D Medical image segmentation using parallel transformers. Pattern Recognition Volume 138

Zeng, Q., Xie, Y., Lu, Z., Xia, Y., PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Zhang, C., Li, G., Qi, Y., Wang, S., Qing, L., Huang, Q., Yang, M. Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection. 2023 Conference on Computer Vision and Pattern Recognition (CVPR)

Zhang, J., Cherian, A., Liu, Y., Ben-Shabat, Y., Rodriguez, C., Gould, S. Aligning Step-by-Step Instructional Diagrams to Video Demonstrations. 

Zhou, G., Hong, Y., Wu, Q. NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models. (26/5/2023)

Zhou, Z., Lei, Y., Zhang, B., Liu, L., Liu, Y., ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Zhu, T., Ferenczi, B., Purkait, P., Drummond, T., Rezatofighi, H., van den Hengel, A. Knowledge Combination To Learn Rotated Detection Without Rotated Annotation. CVPR 2023

2022 Annual Report

With AIML now in its fifth year, the University of Adelaide has firmly established itself as an international leader in AI.

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Academic publications 

Doan, A., Sasdelli, M., Suter, D., Chin, T. A Hybrid Quantum-Classical Algorithm for Robust Fitting. 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Howe, M., Repasky, B., Payne, T., Effective Utilisation of Multiple Open-Source Datasets to Improve Generalisation Performance of Point Cloud Segmentation Models.  Accepted into The International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2022

Liao, Z., Liao, K., Shen, H., Van Boxel, M., Prijs, J., Jaarsma, R., Doornberg, J., Van den Hengel, A., Verjans, J. CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification. IEEE Journal of Biomedical and Health Informatics, 26(7), 3139-3150

Liu, X., Glocker, B., McCradden, M., Ghassemi, M., Denniston, A., Oakden-Rayner, L. The Medical Algorithmic Audit. The Lancet Digital Health, 4(5), 2022

Parvaneh, A., Abbasnejad,E., Teney, D., Haffari, R., van den Hengel, A., Shi, J. Active Learning by Feature Mixing. 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., Wu, Q. HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Ramasinghe, S., Lucey, S. Beyond Periodicity. Towards a Unifying Framework for Activations in Coordinate. European Conference on Computer Vision (ECCV) 2022

Shevchenko, V., Abbasnejad, E., Dick, A., van den Hengel, A., Teney, D. EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.

Shu, Y., Yu, B., Xu, H., Liu, L. Improving Fine-grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. European Conference on Computer Vision (ECCV) 2022

Valmadre, J. Hierarchical classification at multiple operating points. Conference on Neural Information Processing Systems (NeurIPS) 2022

Zhang, B., Tian,Z., Tang, Q., Chu, X., Wei, X., Shen, C., Liu, Y. SegViT: Semantic Segmentation with Plain Vision Transformers. Conference on Neural Information Processing Systems (NeurIPS) 2022

Zhuang, B., Shen, C., Tan, M., Chen, P., Liu, L., Reid, I. Structured Binary Neural Networks for Image Recognition. International Journal of Computer Vision 130 (9), 2081-2102 (IJCV)

2021 Annual Report

Throughout 2021, AIML members delivered impressive achievements in both fundamental and applied machine learning science.

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Academic publications

Abedin, A., M. Ehsanpour, Q. Shi, H. Rezatofighi, and D. C. Ranasinghe. Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors. 10.1145/3448083. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1-22.

Anderson, L., H. Thomas, and A. Van Den Hengel. Laurie Anderson, Norton Lecture, Spending the War without You, Rocks. Mahindra Humanities Center, Harvard University, (2021).

Anderson, L., A. Van Den Hengel, J. Sherrah, and B. Ward. Ai Bible (Working Title). Smithsonian Museum, Washington, DC: LAURIE ANDERSON, (2021).

Ang, T. L., and G. Carneiro. Artificial Intelligence in Gastrointestinal Endoscopy. 10.1111/jgh.15344. Journal of Gastroenterology and Hepatology (Australia) 36, no. 1 (2021): 5-6.

Banach, A., M. Strydom, A. Jaiprakash, G. Carneiro, A. Eriksson, R. Crawford, and A. McFadyen. Visual Localisation for Knee Arthroscopy. 10.1007/s11548-021-02444-8. International Journal of Computer Assisted Radiology and Surgery (2021).

Bedrikovetski, S., N. N. Dudi-Venkata, H. M. Kroon, W. Seow, R. Vather, G. Carneiro, J. W. Moore, and T. Sammour. Artificial Intelligence for Pre-Operative Lymph Node Staging in Colorectal Cancer: A Systematic Review and Meta-Analysis. 10.1186/s12885-021-08773-w. BMC Cancer 21, no. 1 (2021/12/01/ 2021).

Bedrikovetski, S., N. N. Dudi-Venkata, G. Maicas, H. M. Kroon, W. Seow, G. Carneiro, J. W. Moore, and T. Sammour. Artificial Intelligence for the Diagnosis of Lymph Node Metastases in Patients with Abdominopelvic Malignancy: A Systematic Review and Meta-Analysis. 10.1016/j.artmed.2021.102022. Artificial Intelligence in Medicine 113, no. ARTN 102022 (2021): 102022-1-22-11.

Bian, J. W., H. Zhan, N. Wang, Z. Li, L. Zhang, C. Shen, M. M. Cheng, and I. Reid. Unsupervised Scale-Consistent Depth Learning from Video. 10.1007/s11263-021-01484-6. International Journal of Computer Vision (2021/01/).

Bordin, V., I. Bertani, I. Mattioli, V. Sundaresan, P. McCarthy, S. Suri, E. Zsoldos, et al. Integrating Large-Scale Neuroimaging Research Datasets: Harmonisation of White Matter Hyperintensity Measurements across Whitehall and UK Biobank Datasets. 10.1016/j.neuroimage.2021.118189. NeuroImage 237, no. 118189 (2021/08/15): 118189.

Boyd, C., G. Brown, T. Kleinig, J. Dawson, M. D. McDonnell, M. Jenkinson, and E. Bezak. Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications. 10.3390/diagnostics11030551. Diagnostics 11, no. 3 (2021): 1-23.

Chin, T. J., D. Suter, S. F. Ch’ng, and J. Quach. Quantum Robust Fitting. 10.1007/978-3-030-69525-5_29. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12622 LNCS (2021/01): 485-99.

Chojnacki, W. A Note on Crossed Products. 10.1016/j.exmath.2019.08.001. Expositiones Mathematicae 39, no. 1 (2021):115-28.https://doi.org/10.1016/j.exmath.2019.08.001.

Dai, Y., H. Lu, and C. Shen. Towards Light-Weight Portrait Matting Via Parameter Sharing. 10.1111/cgf.14179. Computer Graphics Forum 40, no. 1 (2021/02): 151-64.

Dancette, C., R. Cadène, D. Teney, and M. Cord. Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. CoRR abs/2104.03149 (2021).

David, R., R. J. D. Menezes, J. De Klerk, I. R. Castleden, C. M. Hooper, G. Carneiro, and M. Gilliham. Identifying Protein Subcellular Localisation in Scientific Literature Using Bidirectional Deep Recurrent Neural Network. 10.1038/s41598-020-80441-8. Scientific Reports 11, no. 1 (2021): 1-11.

Dendorfer, P., A. Os̆ep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Roth, and L. Leal-Taixé. Motchallenge: A Benchmark for Single-Camera Multiple Target Tracking. 10.1007/s11263-020-01393-0. International Journal of Computer Vision 129, no. 4 (2021/04/ ): 845-81.

Dinsdale, N. K., E. Bluemke, S. M. Smith, Z. Arya, D. Vidaurre, M. Jenkinson, and A. I. L. Namburete. Learning Patterns of the Ageing Brain in MRI Using Deep Convolutional Networks. 10.1016/j.neuroimage.2020.117401. NeuroImage 224, no. 117401 (2021): 1-16.

Dinsdale, N. K., M. Jenkinson, and A. I. L. Namburete. Deep Learning-Based Unlearning of Dataset Bias for MRI Harmonisation and Confound Removal. 10.1016/j.neuroimage.2020.117689. NeuroImage 228, no. 117689 (2021): 1-16.

Doan, A. D., Y. Latif, T. J. Chin, Y. Liu, S. F. Ch’ng, T. T. Do, and I. Reid. Visual Localization under Appearance Change: Filtering Approaches. 10.1007/s00521-020-05339-y. Neural Computing and Applications 33, no. 13 (2021/07): 7325-38.

Doan, A. D., Y. Latif, T. J. Chin, and I. Reid. Hm⁴: Hidden Markov Model with Memory Management for Visual Place Recognition. 10.1109/lra.2020.3036615. IEEE Robotics and Automation Letters 6, no. 1 (2021): 167-74.

Dong, G., Y. Yan, C. Shen, and H. Wang. Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes. 10.1109/tits.2020.2980426. IEEE Transactions on Intelligent Transportation Systems 22, no. 6 (2021): 3258-74.

Eriksson, A., C. Olsson, F. Kahl, and T. J. Chin. Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality. 10.1109/TPAMI.2019.2930051. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 1 (2021/01): 256-68.

Fouladzadeh, A., M. Dorraki, K. K. M. Min, M. P. Cockshell, E. J. Thompson, J. W. Verjans, A. Allison, C. S. Bonder, and D. Abbott. The Development of Tumour Vascular Networks. 10.1038/s42003-021-02632-x. Communications Biology 4, no. 1 (2021/12/).

Ghassemzadeh, S., M. Gonzalez Perdomo, M. Haghighi, and E. Abbasnejad. A Data-Driven Reservoir Simulation for Natural Gas Reservoirs. 10.1007/s00521-021-05886-y. Neural Computing and Applications (2021/01).

Hajdu, T., L. Anderson, A. Van Den Hengel, J. Sherrah, and B. Ward. Untitled Work. Charles Eliot Norton Lectures. Harvard University: Harvard University, (2021).

Hajdu, T., A. Van Den Hengel, J. Sherrah, P. Dalby, and J. Verjans. Adelaide Festival of Ideas: Art of Artificial Intelligence. In Elder Hall Adelaide: (2021).

Hermoza, R., G. Maicas, J. C. Nascimento, and G. Carneiro. Post-Hoc Overall Survival Time Prediction from Brain MRI. 10.1109/ISBI48211.2021.9433877. Proceedings - International Symposium on Biomedical Imaging 2021-April (2021/04): 1476-80.

Hirschfeld, C. B., L. J. Shaw, M. C. Williams, R. Lahey, T. C. Villines, S. Dorbala, A. D. Choi, et al. Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World. 10.1016/j.jcmg.2021.03.007. JACC: Cardiovascular Imaging 14, no. 9 (2021/09): 1787-99.

Hordacre, B., M. Lotze, M. Jenkinson, A. Lazari, C. D. Barras, L. Boyd, and S. Hillier. Fronto-Parietal Involvement in Chronic Stroke Motor Performance When Corticospinal Tract Integrity Is Compromised. 10.1016/j.nicl.2021.102558. NeuroImage: Clinical 29, no. 102558 (2021): 1-11.

Hu, Y., Z. Zhang, Y. Yao, X. Huyan, X. Zhou, and W. S. Lee. A Bidirectional Graph Neural Network for Travelling Salesman Problems on Arbitrary Symmetric Graphs. 10.1016/j.engappai.2020.104061. Engineering Applications of Artificial Intelligence 97, no. 104061 (2021/01): 104061-61.

Juryńczyk, M., E. Klimiec-Moskal, Y. Kong, S. Hurley, S. Messina, T. Yeo, M. Jenkinson, M. I. Leite, and J. Palace. Elucidating Distinct Clinico-Radiologic Signatures in the Borderland between Neuromyelitis Optica and Multiple Sclerosis. 10.1007/s00415-021-10619-1. Journal of Neurology (2021/01).

Kang, L., J. Liu, L. Liu, Z. Zhou, and D. Ye. Semi-Supervised Emotion Recognition in Textual Conversation Via a Context-Augmented Auxiliary Training Task. 10.1016/j.ipm.2021.102717. Information Processing and Management 58, no. 6 (2021/11): 1-13. 

Kong, C., and S. Lucey. Deep Non-Rigid Structure from Motion with Missing Data. 10.1109/TPAMI.2020.2997026. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 12 (2021): 4365-77.

Kuang, B., G. Pena, Z. Szpak, S. Edwards, R. Battersby, P. Cowled, J. Dawson, and R. Fitridge. Assessment of a Smartphone-Based Application for Diabetic Foot Ulcer Measurement. 10.1111/wrr.12905. Wound Repair and Regeneration 29, no. 3 (2021): 460-65.

Lassance, C., Y. Latif, R. Garg, V. Gripon, and I. Reid. Improved Visual Localization Via Graph Filtering. 10.3390/jimaging7020020. Journal of Imaging 7, no. 2 (2021/02): 20-20.

Le, H., T. J. Chin, A. Eriksson, T. T. Do, and D. Suter. Deterministic Approximate Methods for Maximum Consensus Robust Fitting. 10.1109/TPAMI.2019.2939307. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 3 (2021): 842-57.

Lei, Y., Y. Liu, P. Zhang, and L. Liu. Towards Using Count-Level Weak Supervision for Crowd Counting. 10.1016/j.patcog.2020.107616. Pattern Recognition 109, no. ARTN 107616 (2021): 1-13.

Li, J., N. J. Montarello, A. Hoogendoorn, J. W. Verjans, C. A. Bursill, K. Peter, S. J. Nicholls, R. A. McLaughlin, and P. J. Psaltis. Multimodality Intravascular Imaging of High-Risk Coronary Plaque. 10.1016/j.jcmg.2021.03.028. JACC: Cardiovascular Imaging (2021/01).

Li, K., H. Rezatofighi, and I. Reid. Moltr: Multiple Object Localization, Tracking and Reconstruction from Monocular Rgb Videos. 10.1109/LRA.2021.3061080. IEEE Robotics and Automation Letters 6, no. 2 (2021/04): 3341-48.

Liu, Y., T. He, H. Chen, X. Wang, C. Luo, S. Zhang, C. Shen, and L. Jin. Exploring the Capacity of an Orderless Box Discretization Network for Multi-Orientation Scene Text Detection. 10.1007/s11263-021-01459-7. International Journal of Computer Vision 129, no. 6 (2021/06): 1972-92.

Liu, Y., C. Shen, L. Jin, T. He, P. Chen, C. Liu, and H. Chen. Abcnet V2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting. 10.1109/TPAMI.2021.3107437. IEEE Transactions on Pattern Analysis and Machine Intelligence  (2021/01): 1-1.

Lu, W., D. Gong, K. Fu, X. Sun, W. Diao, and L. Liu. Boundarymix: Generating Pseudo-Training Images for Improving Segmentation with Scribble Annotations. 10.1016/j.patcog.2021.107924. Pattern Recognition 117, no. ARTN 107924 (2021/09).

Luo, C., Q. Lin, Y. Liu, L. Jin, and C. Shen. Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild. 10.1007/s11263-020-01411-1. International Journal of Computer Vision 129, no. 4 (2021/04): 960-76.

Luong, C., Z. Liao, A. Abdi, H. Girgis, R. Rohling, K. Gin, J. Jue, et al. Automated Estimation of Echocardiogram Image Quality in Hospitalized Patients. 10.1007/s10554-020-01981-8. International Journal of Cardiovascular Imaging 37, no. 1 (2021): 229-39.

MacDonald, L. E. Hierarchies of Holonomy Groupoids for Foliated Bundles. 10.1007/s10455-021-09792-3. Annals of Global Analysis and Geometry (2021/01).

MacDonald, L. E. The Holonomy Groupoids of Singularly Foliated Bundles. 10.3842/sigma.2021.043. Symmetry, Integrability and Geometry: Methods and Applications 17, no. ARTN 043 (2021): 043-1-43-34.

Macdonald, L., V. Mathai, and H. Saratchandran. On the Chern Character in Higher Twisted K-Theory and Spherical T-Duality. 10.1007/s00220-021-04096-w. Communications in Mathematical Physics 385, no. 1 (2021): 331-68.

Melazzini, L., C. E. Mackay, V. Bordin, S. Suri, E. Zsoldos, N. Filippini, A. Mahmood, et al. White Matter Hyperintensities Classified According to Intensity and Spatial Location Reveal Specific Associations with Cognitive Performance. 10.1016/j.nicl.2021.102616. NeuroImage: Clinical 30, no. 102616 (2021): 1-8.

Messina, S., R. Mariano, A. Roca-Fernandez, A. Cavey, M. Jurynczyk, M. I. Leite, M. Calabrese, M. Jenkinson, and J. Palace. Contrasting the Brain Imaging Features of Mog Antibody Disease, with Aqp4-Antibody Nmosd and Multiple Sclerosis. 10.1177/13524585211018987. Multiple Sclerosis Journal (2021/01): 135245852110189-89.

Neshat, M., M. M. Nezhad, E. Abbasnejad, S. Mirjalili, D. Groppi, A. Heydari, L. B. Tjernberg, et al. Wind Turbine Power Output Prediction Using a New Hybrid Neuro-Evolutionary Method. 10.1016/j.energy.2021.120617. Energy 229, no. 120617 (2021/08): 120617-1-17-24.

Neshat, M., M. M. Nezhad, E. Abbasnejad, S. Mirjalili, L. B. Tjernberg, D. Astiaso Garcia, B. Alexander, and M. Wagner. A Deep Learning-Based Evolutionary Model for Short-Term Wind Speed Forecasting: A Case Study of the Lillgrund Offshore Wind Farm. 10.1016/j.enconman.2021.114002. Energy Conversion and Management 236, no. 114002 (2021/05): 114002-02.

Nguyen, L. V., C. C. Nguyen, G. Carneiro, H. Ebendorff-Heidepriem, and S. C. Warren-Smith. Sensing in the Presence of Strong Noise by Deep Learning of Dynamic Multimode Fiber Interference. 10.1364/PRJ.415902. Photonics Research 9, no. 4 (2021): 109-18.

Osborn, E. A., G. J. Ughi, J. W. Verjans, Z. Piao, E. Gerbaud, M. Albaghdadi, H. Khraishah, et al. Intravascular Molecular-Structural Assessment of Arterial Inflammation in Preclinical Atherosclerosis Progression. 10.1016/j.jcmg.2021.06.017. JACC: Cardiovascular Imaging 14, no. 11 (2021/08): 2265-67.

Paige, E., K. Doyle, L. Jorm, E. Banks, M. P. Hsu, L. Nedkoff, T. Briffa, et al. A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health. 10.1016/j.hlc.2021.04.023. Heart Lung and Circulation (2021/01).

Pang, G., F. Angiulli, M. Cucuringu, and H. Liu. Guest Editorial: Non-Iid Outlier Detection in Complex Contexts. 10.1109/MIS.2021.3072704. IEEE INTELLIGENT SYSTEMS 36, no. 3 (2021/05): 3-4.

Pang, G., L. Cao, and L. Chen. Homophily Outlier Detection in Non-Iid Categorical Data. 10.1007/s10618-021-00750-y. Data Mining and Knowledge Discovery 35, no. 4 (2021/07): 1163-224.

Pang, G., C. Shen, L. Cao, and A. V. D. Hengel. Deep Learning for Anomaly Detection: A Review. 10.1145/3439950. ACM Computing Surveys 54, no. 2 (2021/04/01).

Parra, Á, S. F. Ch'ng, T. J. Chin, A. P. Eriksson, and I. D. Reid. Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CoRR abs/2103.08292 (2021).

Parvaneh, A., E. Abbasnejad, Q. Wu, and J. Shi. Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. 10.1109/TMM.2021.3065169. IEEE Transactions on Multimedia abs/1905.03721 (2021).

Raman, B., M. P. Cassar, E. M. Tunnicliffe, N. Filippini, L. Griffanti, F. Alfaro-Almagro, T. Okell, et al. Medium-Term Effects of Sars-Cov-2 Infection on Multiple Vital Organs, Exercise Capacity, Cognition, Quality of Life and Mental Health, Post-Hospital Discharge. 10.1016/j.eclinm.2020.100683. EClinicalMedicine 31, no. 100683 (2021): 1-13.

Santiago, C., C. Barata, M. Sasdelli, G. Carneiro, and J. C. Nascimento. Low: Training Deep Neural Networks by Learning Optimal Sample Weights. 10.1016/j.patcog.2020.107585. Pattern Recognition 110, no. 107585 (2021): 1-12.

Shevchenko, V., D. Teney, A. R. Dick, and A. V. D. Hengel. Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. CoRR abs/2101.06013 (2021).

Sun, W., D. Gong, Q. Shi, A. van den Hengel, and Y. Zhang. Learning to Zoom-in Via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. 10.1109/TIP.2021.3049951. IEEE Transactions on Image Processing 30 (2021): 1-1.

Sundaresan, V., L. Griffanti, and M. Jenkinson. Brain Tumour Segmentation Using A triplanar Ensemble of U-Nets on Mr Images. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 340-53: Springer International Publishing, (2021).

Sundaresan, V., G. Zamboni, N. K. Dinsdale, P. M. Rothwell, L. Griffanti, and M. Jenkinson. Comparison of Domain Adaptation Techniques for White Matter Hyperintensity Segmentation in Brain Mr Images. 10.1016/j.media.2021.102215. Medical Image Analysis 74, no. ARTN 102215 (2021).

Sundaresan, V., G. Zamboni, P. M. Rothwell, M. Jenkinson, and L. Griffanti. Triplanar Ensemble U-Net Model for White Matter Hyperintensities Segmentation on Mr Images. 10.1016/j.media.2021.102184. Med Image Anal 73 (2021): 1-17.

Sundaresan, Vaanathi, Giovanna Zamboni, Nicola K. Dinsdale, Peter M. Rothwell, Ludovica Griffanti, and Mark Jenkinson. Comparison of Domain Adaptation Techniques for White Matter Hyperintensity Segmentation in Brain Mr Images. 10.1101/2021.03.12.435171. (2021).

Tan, M., Z. Hu, Y. Yan, J. Cao, D. Gong, and Q. Wu. Learning Sparse PCA with Stabilized Admm Method on Stiefel Manifold. 10.1109/TKDE.2019.2935449. IEEE Transactions on Knowledge and Data Engineering 33, no. 3 (2021/03): 1078-88.

Teney, D., E. Abbasnejad, S. Lucey, and A. V. D. Hengel. Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior Ood Generalization. CoRR abs/2105.05612 (2021).

Tian, L., P. Wang, G. Liang, and C. Shen. An Adversarial Human Pose Estimation Network Injected with Graph Structure. 10.1016/j.patcog.2021.107863. Pattern Recognition 115, no. 107863 (2021/07): 107863-63.

Tian, Y., G. Pang, Y. Chen, R. Singh, J. W. Verjans, and G. Carneiro. Weakly-Supervised Video Anomaly Detection with Contrastive Learning of Long and Short-Range Temporal Features. CoRR abs/2101.10030 (2021).

Tian, Y., G. Pang, F. Liu, Y. Chen, S. H. Shin, J. W. Verjans, R. Singh, and G. Carneiro. Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR abs/2103.03423 (2021).

Tian, Y., L. Z. C. T. Pu, Y. Liu, G. Maicas, J. W. Verjans, A. D. Burt, S. H. Shin, R. Singh, and G. Carneiro. Detecting, Localising and Classifying Polyps from Colonoscopy Videos Using Deep Learning. CoRR abs/2101.03285 (2021).

Torso, M., S. Ahmed, C. Butler, G. Zamboni, M. Jenkinson, and S. Chance. Cortical Diffusivity Investigation in Posterior Cortical Atrophy and Typical Alzheimer’s Disease. 10.1007/s00415-020-10109-w. Journal of Neurology 268, no. 1 (2021): 227-39.

Torso, M., M. Bozzali, G. Zamboni, M. Jenkinson, and S. A. Chance. Detection of Alzheimer's Disease Using Cortical Diffusion Tensor Imaging. 10.1002/hbm.25271. Human Brain Mapping 42, no. 4 (2021/03): 967-77.

Torso, M., G. R. Ridgway, M. Jenkinson, and S. Chance. Intracortical Diffusion Tensor Imaging Signature of Microstructural Changes in Frontotemporal Lobar Degeneration. 10.1186/s13195-021-00914-4. Alzheimer's Research and Therapy 13, no. 1 (2021/12).

Uretsky, S., N. Aggarwal, R. B. van Heeswijk, S. Rajpal, E. Rowin, M. D. Taylor, J. W. Verjans, et al. Standards for Writing Society for Cardiovascular Magnetic Resonance (Scmr) Endorsed Guidelines, Expert Consensus, and Recommendations: A Report of the Publications Committee. 10.1186/s12968-021-00801-9. Journal of Cardiovascular Magnetic Resonance 23, no. 1 (2021/12).

Wang, B., S. Jin, Q. Yan, H. Xu, C. Luo, L. Wei, W. Zhao, et al. AI-Assisted Ct Imaging Analysis for COVID-19 Screening: Building and Deploying a Medical Ai System. 10.1016/j.asoc.2020.106897. Applied Soft Computing 98, no. ARTN 106897 (2021/01).

Wang, D. D., Z. Qian, M. Vukicevic, S. Engelhardt, A. Kheradvar, C. Zhang, S. H. Little, et al. 3d Printing, Computational Modelling, and Artificial Intelligence for Structural Heart Disease. 10.1016/j.jcmg.2019.12.022. JACC. Cardiovascular imaging 14, no. 1 (2021): 41-60.

Wang, H., P. Chen, B. Zhuang, and C. Shen. Fully Quantized Image Super-Resolution Networks. 10.1145/3474085.3475227. MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia (2021): 639-47.

Wang, P., H. Li, and C. Shen. Towards End-to-End Text Spotting in Natural Scenes. IEEE Trans Pattern Anal Mach Intell PP (Jul 9 2021).

Wang, P., W. Sun, Q. Yan, A. Niu, R. Li, Y. Zhu, J. Sun, and Y. Zhang. Non-Uniform Motion Deblurring with Blurry Component Divided Guidance. 10.1016/j.patcog.2021.108082. Pattern Recognition 120, no. ARTN 108082 (2021): 1-16.

Wang, W., E. Xie, X. Li, X. Liu, D. Liang, Y. Zhibo, T. Lu, and C. Shen. Pan++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. 10.1109/TPAMI.2021.3077555. IEEE Transactions on Pattern Analysis and Machine Intelligence  (2021/01): 1-1.

Wang, Y., Y. Qi, H. Yao, D. Gong, and Q. Wu. Image Editing with Varying Intensities of Processing. 10.1016/j.cviu.2021.103260. Computer Vision and Image Understanding 211, no. ARTN 103260 (2021/10): 1-13.

Wei, X. S., H. J. Ye, X. Mu, J. Wu, C. Shen, and Z. H. Zhou. Multi-Instance Learning with Emerging Novel Class. 10.1109/TKDE.2019.2952588. IEEE Transactions on Knowledge and Data Engineering 33, no. 5 (2021): 2109-20.

Xie, Y., J. Zhang, H. Lu, C. Shen, and Y. Xia. Sesv: Accurate Medical Image Segmentation by Predicting and Correcting Errors. 10.1109/tmi.2020.3025308. IEEE Transactions on Medical Imaging 40, no. 1 (2021): 286-96.

Yan, C., G. Pang, X. Bai, C. Liu, N. Xin, L. Gu, and J. Zhou. Beyond Triplet Loss: Person Re-Identification with Fine-Grained Difference-Aware Pairwise Loss. 10.1109/TMM.2021.3069562. IEEE Transactions on Multimedia  (2021/01): 1-1.

Yan, Q., B. Wang, D. Gong, C. Luo, W. Zhao, J. Shen, J. Ai, et al. COVID-19 Chest Ct Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. 10.1109/TBDATA.2021.3056564. IEEE Transactions on Big Data 7, no. 1 (2021): 13-24.

Yan, Q., B. Wang, L. Zhang, J. Zhang, Z. You, Q. Shi, and Y. Zhang. Towards Accurate Hdr Imaging with Learning Generator Constraints. 10.1016/j.neucom.2020.11.056. Neurocomputing 428 (2021): 79-91.

Yin, W., Y. Liu, and C. Shen. Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. 10.1109/TPAMI.2021.3097396. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021/01).

Yu, J., X. Jiang, Z. Qin, W. Zhang, Y. Hu, and Q. Wu. Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. 10.1109/TIP.2020.3034494. IEEE TRANSACTIONS ON IMAGE PROCESSING 30 (2021/01): 220-33.

Zhang, J., Y. Xie, G. Pang, Z. Liao, J. Verjans, W. Li, Z. Sun, et al. Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. 10.1109/TMI.2020.3040950. IEEE Transactions on Medical Imaging 40, no. 3 (2021): 879-90.

Zhang, J., Y. Xie, Y. Wang, and Y. Xia. Inter-Slice Context Residual Learning for 3d Medical Image Segmentation. 10.1109/TMI.2020.3034995. IEEE Transactions on Medical Imaging 40, no. 2 (2021/02): 661-72.

Zhang, L., Z. Shi, J. T. Zhou, M. M. Cheng, Y. Liu, J. W. Bian, Z. Zeng, and C. Shen. Ordered or Orderless: A Revisit for Video Based Person Re-Identification. 10.1109/TPAMI.2020.2976969. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 4 (2021/04): 1460-66. 

Zhang, P., W. Liu, Y. Zeng, Y. Lei, and H. Lu. Looking for the Detail and Context Devils: High-Resolution Salient Object Detection. 10.1109/TIP.2020.3045624. IEEE Transactions on Image Processing 30 (2021/01): 3204-16.

Zhang, S., Y. Liu, L. Jin, Z. Wei, and C. Shen. Opmp: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection. 10.1109/TMM.2020.2978630. IEEE Transactions on Multimedia 23 (2021/01): 454-67.

Zhang, W., C. Ma, Q. Wu, and X. Yang. Language-Guided Navigation Via Cross-Modal Grounding and Alternate Adversarial Learning. 10.1109/TCSVT.2020.3039522. IEEE Transactions on Circuits and Systems for Video Technology 31, no. 9 (2021/09): 3469-81.

Zhao, Y., C. Shen, X. Yu, H. Chen, Y. Gao, and S. Xiong. Learning Deep Part-Aware Embedding for Person Retrieval. 10.1016/j.patcog.2021.107938. Pattern Recognition 116, no. 107938 (2021): 1-10.

Zhuang, B., M. Tan, J. Liu, L. Liu, I. Reid, and C. Shen. Effective Training of Convolutional Neural Networks with Low-Bitwidth Weights and Activations. IEEE Trans Pattern Anal Mach Intell PP (2021/06).

2020 Annual Report

Despite many challenges presented in 2020, exciting developments in artificial intelligence and machine learning capability offered a view to the future.

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Academic publications

Antico M, Fontanarosa D, Carneiro G, Vukovic D, Camps S, Sasazawa F, Takeda Y, Le A, Jaiprakash A, Roberts J, Crawford R. Deep learning for US image quality assessment based on femoral cartilage boundaries detection in autonomous knee arthroscopy. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2020.

Antico M, Sasazawa F, Dunnhofer M, Camps S, Jaiprakash A, Pandey A, Crawford R, Carneiro G, Fontanarosa D. Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy. Ultrasound in medicine & biology 2020;46(2):422-435.

Camps S, Houben T, Carneiro G, Edwards C, Antico M, Dunnhofer M, Martens E, Baeza J, Vanneste B, van Limbergen E, de With P, Verhaegen F, Fontanarosa D. Automatic quality assessment of transperineal ultrasound images of the male pelvic region, using deep learning. Ultrasound in Medicine and Biology 2020;46(2):445-454.

Cheng Tao Pu LZ, Maicas G, Tian Y, Yamamura T, Nakamura M, Suzuki H, Singh G, Rana K, Hirooka Y, Burt AD, Fujishiro M, Carneiro G, Singh R. Computer-aided diagnosis for characterisation of colorectal lesions: a comprehensive software including serrated lesions. Gastrointestinal endoscopy 2020.

Chin TJ, Cai Z, Neumann F. Robust fitting in computer vision: Easy or hard? International Journal of Computer Vision 2020;128(3):575-587.

Clarke KD, Osborne G, Auricht H, Lewis M. Condition Assessment and Risk Management System (CARMS): Monitoring rangeland condition in South Australia. 2020.

Dunnhofer M, Antico M, Sasazawa F, Takeda Y, Camps S, Martinel N, Micheloni C, Carneiro G, Fontanarosa D. Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis 2020;60(101631):101631-101631-101631-101617.

Gong D, Zhang Z, Shi Q, van den Hengel A, Shen C, Zhang Y. Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Transactions on Neural Networks and Learning Systems 2020.

Huang Y, Wu Q, Wang W, Wang L. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2020;42(3):636-650.

Li J, Liu Y, Yuan X, Zhao C, Siegwart R, Reid I, Cadena C. Depth based semantic scene completion with position importance aware loss. IEEE Robotics and Automation Letters 2020;5(1):219-226.

Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher information matrix to characterise the training of deep neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2020;42(1):15-26.

Liu C, Yao R, Rezatofighi S, Reid I, Shi Q. Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Transactions on Image Processing 2020;29:277-288.

Liu W, Zhang P, Chen X, Shen C, Huang X, Yang J. Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology 2020;30(1):23-35.

Orlando J, Fu H, Barbossa Breda J, van Keer K, Bathula D, Diaz-Pinto A, Fang R, Heng P, Kim J, Lee J, Lee J, Li X, Liu P, Lu S, Murugesan B, Naranjo V, Phaye S, Shankaranarayana S, Sikka A, Son J, van den Hengel A, Wang S, Wu J, Wu Z, Xu G, Xu Y, Yin P, Li F, Zhang X, Xu Y, Bogunović H. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis 2020;59(UNSP 101570).

Osborn H, Ansdell M, Ioannou Y, Sasdelli M, Angerhausen D, Caldwell D, Jenkins J, Raeissi C, Smith J. Rapid classification of TESS planet candidates with convolutional neural networks. ASTRONOMY & ASTROPHYSICS 2020;633(ARTN A53).

Rezatofighi H, Kaskman R, Motlagh FT, Shi Q, Milan A, Cremers D, Leal-Taixé L, Reid ID. Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR 2020;abs/2001.11845.

Teney D, Abbasnejad E, van den Hengel A. Unshuffling Data for Improved Generalization. CoRR 2020;abs/2002.11894.

Yan Q, Zhang L, Liu Y, Zhu Y, Sun J, Shi Q, Zhang Y. Deep HDR Imaging via A Non-Local Network. IEEE Transactions on Image Processing 2020;29:4308-4322.

Yan Y, Tan M, Tsang I, Yang Y, Shi Q, Zhang C. Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study. IEEE Transactions on Knowledge and Data Engineering 2020;32(2):288-301.

Zhang L, Wang P, Shen C, Liu L, Wei W, Zhang Y, van den Hengel A. Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision 2020;128(2):479-499.

Zhang P, Liu W, Lei Y, Wang H, Lu H. Deep Multiphase Level Set for Scene Parsing. IEEE Transactions on Image Processing 2020;29:4556-4567.

Zhang P, Liu W, Lei Y, Wang H, Lu H. RAPNet: Residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing. IEEE transactions on image processing: A publication of the IEEE Signal Processing Society 2020.

Zhao Y, Liu Y, Shen C, Gao Y, Xiong S. MobileFAN: Transferring deep hidden representation for face alignment. Pattern Recognition 2020;100.

Zhao Y, Shen C, Wang H, Chen S. Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Transactions on Intelligent Transportation Systems 2020;21(2):723-734.

2019 Annual Report

AIML has grown from strength to strength in 2019. Highlights include moving into our new state of the art premises at Lot Fourteen and securing contracts with diverse industry partners.

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Academic publications

Abbasnejad E, Wu Q, Shi Q, van den Hengel A. What's to know? uncertainty as a guide to asking goal-oriented questions. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 4150-4159.

Abbasnejad M, Shi Q, Van Den Hengel A, Liu L. A generative adversarial density estimator. In: Proc A generative adversarial density estimator Long Beach, USA. Online, 2019/06/01/. pp 10774-10783.

Abbasnejad ME, Shi Q, Van Den Hengel A, Liu L. A Generative Adversarial Density Estimator. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 10782-10791.

Abdi M, Lim C, Mohamed S, Nahavandi S, Abbasnejad E, Van Den Hengel A. Discriminative clustering of high-dimensional data using generative modelling. In: Proc IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Windsor, Canada, 2019. pp 799-802.

Abedin Varamin A, Rezatofighi H, Shi Q, Ranasinghe D. SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. In: Proc International Joint Conference on Artificial Intelligence (IJCAI 2019) Macao, China. Online, 2019/07/01/. pp 5780-5786.

Ansdell M, Ioannou Y, Osborn H, Sasdelli M, Smith J, Caldwell D, Jenkins J, Raissi C, Angerhausen D. Automatic Classification of Transiting Planet Candidates using Deep Learning. In: Proc 28th Annual Conference on Astronomical Data Analysis Software and Systems (ADASS XXVIII) Univ Maryland, Astron Dept, Coll Pk, MD, USA. Online, 2019/01/01/. pp 59-62.

Aoki Y, Goforth H, Srivatsan RA, Lucey S. PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 7156-7165.

Bay A, Sidiropoulos P, Vazquez E, Sasdelli M. Real-time Tracker with Fast Recovery from Target Loss. In: Proc IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Brighton, UK. Online, 2019. pp 1932-1936.

Bian J, Lin W, Liu Y, Zhang L, Yeung S, Cheng M, Reid I. GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. International Journal of Computer Vision 2019.

Bustos ÁP, Chin TJ, Neumann F, Friedrich T, Katzmann M. A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. CoRR 2019;abs/1902.01534.

Cai M, Shen C, Reid I. A hybrid probabilistic model for camera relocalization. In: Proc British Machine Vision Conference (BMVC) Newcastle upon Tyne, UK. Online, 2019/01/01/. pp 1-12.

Cai Z, Chin T, Bustos A, Schindler K. Practical optimal registration of terrestrial LiDAR scan pairs. ISPRS Journal of Photogrammetry and Remote Sensing 2019;147:118-131.

Carneiro G, Manuel J, Tavares R, Bradley A, Papa J, Nascimento J, Cardoso J, Lu Z, Belagiannis V. Editorial. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2019;7(3):241.

Carneiro G, You S. Computer Vision – ACCV 2018 Workshops: Springer; 2019.

Carneiro G, You S. Preface. In: Carneiro G, You S, editors. Computer Vision – ACCV 2018 Workshops; 2019.  p v-v.

Chang M, Lambert J, Sangkloy P, Singh J, Bak S, Hartnett A, Wang D, Carr P, Lucey S, Ramanan D, Hays J. Argoverse: 3D Tracking and Forecasting With Rich Maps. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 8740-8749.

Chojnacki W, Szpak Z. Determining ellipses from low-resolution images with a comprehensive image formation model. Journal of the Optical Society of America A 2019;36(2):212-233.

Chojnacki W, Szpak Z. Full explicit consistency constraints in uncalibrated multiple homography estimation. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 659-675.

Chojnacki W. A note on crossed products. Expositiones Mathematicae 2019.

Do H, Chin T, Moretti N, Jah M, Tetlow M. Robust foreground segmentation and image registration for optical detection of GEO objects. Advances in Space Research 2019;64(3):733-746.

Do T, Hoang T, Le Tan D, Pham T, Le H, Cheung N, Reid I. Binary constrained deep hashing network for image retrieval without manual annotation. In: Proc 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) Waikoloa Village, HI, USA. Online, 2019/03/04/. pp 695-704.

Do T, Pham T, Cai M, Reid I. Real-time monocular object instance 6D pose estimation. In: Proc British Machine Vision Conference (BMVC) Newcastle upon Tyne, UK. Online, 2019/01/01/. pp 1-12.

Do TT, Tran T, Reid I, Kumar V, Hoang T, Carneiro G. A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning. In: Proc IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, CA, USA, 2019. pp 10396-10405.

Doan A, Latif Y, Chin T, Liu Y, Ch'Ng S, Do T, Reid I. Visual Localization under Appearance Change: A Filtering Approach. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 2019:1-8.

Doan D, Latif Y, Chin T, Liu Y, Do T, Reid I. Scalable place recognition under appearance change for autonomous driving. In: Proc IEEE International Conference on Computer Vision (ICCV) Seoul, South Korea. Online, 2019/10/01/. pp 9318-9327.

Duan X, Wu Q, Gan C, Zhang Y, Huang W, van den Hengel A, Zhu W. Watch, reason and code: Learning to represent videos using program. In: Proc ACM International Conference on Multimedia (ACM Multimedia) Nice, France. Online, 2019/10/15/. pp 1543-1551.

Felix Alves R, Harwood B, Sasdelli M, Carneiro G. Generalised zero-shot learning with domain classification in a joint semantic and visual space. In: Proc Digital Image Computing: Techniques and Applications (DICTA) Perth, Australia. Online, 2019. pp 1-8.

Felix R, Harwood B, Sasdelli M, Carneiro G. Generalised zero-shot learning with a classifier ensemble over multi-modal embedding spaces. arXiv 2019;OnlinePubl.

Felix R, Harwood B, Sasdelli M, Carneiro G. Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 2019;abs/1908.04930.

Felix R, Sasdelli M, Reid ID, Carneiro G. Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR 2019;abs/1901.04623.

Gale W, Oakden-Rayner L, Carneiro G, Palmer LJ, Bradley AP. Producing radiologist quality reports for interpretable deep learning. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019. pp 1275-1279.

Glaser S, Maicas G, Bedrikovetski S, Sammour T, Carneiro G. Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. CoRR 2019;abs/1910.10371.

Goforth H, Lucey S. GPS-Denied UAV Localization using Pre-existing Satellite Imagery. In: Proc 2019 International Conference on Robotics and Automation (ICRA), 20-24 May 2019, 2019. pp 2974-2980.

Gong D, Liu L, Le V, Saha B, Mansour M, Venkatesh S, Van Den Hengel A. Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. In, 2019/10/01/. pp 1705-1714.

Gong D, Tan M, Shi Q, van den Hengel A, Zhang Y. MPTV: matching pursuit based total variation minimization for image deconvolution. IEEE Transactions on Image Processing 2019;28(4):1851-1865.

Guo Y, Chen Q, Chen J, Wu Q, Shi Q, Tan M. Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. IEEE Transactions on Multimedia 2019;21(11):2726-2737.

Hasani-Shoreh M, Ameca-Alducin M, Blaikie W, Neumann F, Schoenauer M. On the behaviour of differential evolution for problems with dynamic linear constraints. In: Proc IEEE Congress on Evolutionary Computation (CEC) Wellington, New Zealand, 2019. pp 3045-3052.

He T, Shen C, Tian Z, Gong D, Sun C, Yan Y. Knowledge adaptation for efficient semantic segmentation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:578-587.

Hosseinzadeh M, Latif Y, Pham T, Suenderhauf N, Reid I. Structure aware SLAM using quadrics and planes. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia.

Hosseinzadeh M, Li K, Latif Y, Reid I. Real-time monocular object-model aware sparse SLAM. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada.

Hunter J, Jateff E, van den Hengel A. Using Digital Visualization of Archival Sources to Enhance Archaeological Interpretation of the ‘Life History’ of Ships: The Case Study of HMCS/HMAS Protector. In: McCarthy JK, Benjamin J, Winton T, van Duivenwoorde W, editors. 3D Recording and Interpretation for Maritime Archaeology. Cham, Switzerland: Springer Nature; 2019.  p 89-101.

Jian S, Pang G, Cao L, Lu K, Gao H. CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans Knowl Data Eng 2019;31(5):853-866.

Johnston A, Carneiro G. Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. In: Proc Digital Image Computing Techniques and Applications (DICTA) Perth, Australia. Online, 2019/12/01/. pp 1-8.

Kellett J, Barreto R, Van Den Hengel A, Vogiatzis N. How Might Autonomous Vehicles Impact the City? The Case of Commuting to Central Adelaide. URBAN POLICY AND RESEARCH 2019;37(4):442-457.

Kong C, Lucey S. Deep Non-Rigid Structure From Motion. In: Proc 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 27 Oct.-2 Nov. 2019, 2019. pp 1558-1567.

Li H, Wang P, Shen C, Van Den Hengel A. Visual question answering as reading comprehension. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 6312-6321.

Li H, Wang P, Shen C, Zhang G. Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. In: Proc 33rd AAAI Conference on Artificial Intelligence; 31st Conference on Innovative Applications of Artificial Intelligence; 9th Symposium on Educational Advances in Artificial Intelligence Honolulu, HI, USA. Online, 2019. pp 8610-8617.

Li H, Wang P, Shen C. Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems 2019;20(3):1126-1136.

Li J, Liu Y, Gong D, Shi Q, Yuan X, Zhao C, Reid I. RGBD based dimensional decomposition residual network for 3D semantic scene completion. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 7685-7694.

Li R, Gong D, Sun J, Zhu Y, Wei Z, Zhang Y. Robust and Accurate Hybrid Structure-From-Motion. In: Proc IEEE International Conference on Image Processing (ICIP) Taipei, Taiwan. Online, 2019/09/01/. pp 494-498.

Li R, Xian K, Shen C, Cao Z, Lu H, Hang L. Deep Attention-Based Classification Network for Robust Depth Prediction. In: Proc 14th Asian Conference on Computer Vision, ACCV 2018 Perth, Western Australia. Online, 2019. pp 663-678.

Li X, Zhao L, Ji W, Wu Y, Wu F, Yang M, Tao D, Reid I. Multi-Task Structure-Aware Context Modelling for Robust Keypoint-Based Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2019;41(4):915-927.

Lin C, Wang O, Russell BC, Shechtman E, Kim VG, Fisher M, Lucey S. Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. In: Proc 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15-20 June 2019, 2019. pp 969-978.

Liu H, Ji R, Wang J, Shen C. Ordinal constraint binary coding for approximate nearest neighbour search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2019;41(4):941-955.

Liu J, Zhang Y, Zhang L, Xie F, Vasileff A, Qiao S. Graphitic carbon nitride (g-C₃N₄ )-derived N-rich graphene with tuneable interlayer distance as a high-rate anode for sodium-ion batteries. Advanced Materials 2019;31(24):e1901261-e1901261.

Liu W, Gong D, Tan M, Shi Q, Yang Y, Hauptmann A. Learning Distilled Graph for Large-scale Social Network Data Clustering. IEEE Transactions on Knowledge and Data Engineering 2019.

Liu W, Li Y, Wu Q. An Attribute-Based High-Level Image Representation for Scene Classification. IEEE Access 2019;7:4629-4640.

Liu Y, Dong W, Zhang L, Gong D, Shi Q. Variational bayesian dropout with a hierarchical prior. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 7117-7126.

Liu Y, Tian Y, Maicas G, Pu LZ, Singh R, Verjans JW, Carneiro G. Photoshopping Colonoscopy Video Frames. CoRR 2019;abs/1910.10345.

Lu H, Dai Y, Shen C, Xu S. Indices matter: Learning to index for deep image matting. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:3265-3274.

Lu L, Wang X, Carneiro G, Yang L. Preface; 2019. v-vii p.

Lyu F, Wu Q, Hu F, Wu Q, Tan M. Attend and Imagine: Multi-Label Image Classification with Visual Attention and Recurrent Neural Networks. IEEE Transactions on Multimedia 2019;21(8):1971-1981.

Maicas G, Bradley A, Nascimento J, Reid I, Carneiro G. Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. In: Lu L, Wang X, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Cham, Switzerland: Springer; 2019.  p 163-178.

Maicas G, Bradley AP, Nascimento JC, Reid I, Carneiro G. Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Analysis 2019;58(101562):101562-101561-101562-101514.

Maicas Suso G, Snaauw G, Bradley AP, Reid I, Carneiro G. Model agnostic saliency for weakly supervised lesion detection from breast DCE-MRI. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019. pp 1057-1060.

Manchin A, Abbasnejad E, van den Hengel A. Reinforcement Learning with Attention that Works: A Self-Supervised Approach. Communications in Computer and Information Science 2019;1143 CCIS:223-230.

Manchin A, Abbasnejad E, Van Den Hengel A. Reinforcement learning with attention that works: a self-supervised approach. In: Proc International Conference on Neural Information Processing (ICONIP) Sydney, 2019. pp 223-230.

Nekrasov V, Chen H, Shen C, Reid I. Fast neural architecture search of compact semantic segmentation models via auxiliary cells. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:9118-9127.

Nekrasov V, Chen H, Shen C, Reid ID. Architecture Search of Dynamic Cells for Semantic Video Segmentation. CoRR 2019;abs/1904.02371.

Nekrasov V, Chen H, Shen C, Reid ID. Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. CVPR 2019:9126-9135.

Nekrasov V, Dharmasiri T, Spek A, Drummond T, Shen C, Reid I. Real-time joint semantic segmentation and depth estimation using asymmetric annotations. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Montreal, Canada, 2019. pp 7101-7107.

Nekrasov V, Shen C, Reid ID. Template-Based Automatic Search of Compact Semantic Segmentation Architectures. CoRR 2019;abs/1904.02365.

Neshat M, Abbasnejad E, Shi Q, Alexander B, Wagner M. Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) 2019;11954:353-366.

Nguyen H, Chesser M, Koh L, Rezatofighi SH, Ranasinghe D. TrackerBots: autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals. Journal of Field Robotics 2019;36(3):617-635.

Nguyen HV, Rezatofighi H, Vo BN, Ranasinghe DC. Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object. In, 2019.

Oakden-Rayner L, Dunnmon J, Carneiro G, Ré C. Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR 2019;abs/1909.12475.online, 2019. pp 7123-7129. online, 2019/05/01/. pp 2385-2391.

Pahuja A, Lucey S. Lossy GIF Compression Using Deep Intrinsic Parameterization. In: Proc 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 27-28 Oct. 2019, 2019. pp 4581-4583.

Pang G, Shen C, Van Den Hengel A. Deep anomaly detection with deviation networks. In: Proc ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) Anchorage, AK, New York, 2019/07/25/. pp 353-362.

Parra Bustos A, Chin T, Eriksson A, Reid I. Visual SLAM: Why bundle adjust? In: Proc International Conference on Robotics and Automation (ICRA) Montreal, Canada.

Parvaneh A, Abbasnejad E, Wu Q, Shi J. Show, price and negotiate: a hierarchical attention recurrent visual negotiator. arXiv 2019;OnlinePubl.

Pena G, Kuang B, Szpak Z, Cowled P, Dawson J, Fitridge R. Evaluation of a Novel Three-Dimensional Wound Measurement Device for Assessment of Diabetic Foot Ulcers. ADVANCES IN WOUND CARE 2019.

Peng X, Zhu H, Feng J, Shen C, Zhang H, Zhou JT. Deep Clustering With Sample-Assignment Invariance Prior. IEEE transactions on neural networks and learning systems 2019.

Pu LZCT, Maicas G, Tian Y, Yamamura T, Singh G, Rana K, Suzuki H, Nakamura M, Hirooka Y, Burt A, Fujishiro M, Carneiro G, Singh R. Prospective study assessing a comprehensive computer-aided diagnosis for characterization of colorectal lesions: Results from different centres and imaging technologies. In, 2019/09/01/. pp 25-26.

Purkait P, Zach C, Reid I. Seeing behind Things: Extending Semantic Segmentation to Occluded Regions. In: Proc IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Macau, China. Online, 2019/11/01/. pp 1998-2005.

Rezatofighi H, Tsoi N, Gwak J, Sadeghian A, Reid ID, Savarese S. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 658-666.

Rowntree T, Pontecorvo C, Reid I. Real-Time Human Gaze Estimation. In: Proc Digital Image Computing Techniques and Applications (DICTA) Perth, Australia. Online, 2019/12/01/. pp 1-7.

Snaauw G, Gong D, Maicas G, van den Hengel A, Niessen WJ, Verjans J, Carneiro G. End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, Italy. Online, 2019. pp 802-805.

Suwanwimolkul S, Zhang L, Gong D, Zhang Z, Chen C, Ranasinghe D, Qinfeng Shi J. An adaptive markov random field for structured compressive sensing. IEEE Transactions on Image Processing 2019;28(3):1556-1570.

Suwanwimolkul S, Zhang L, Ranasinghe D, Shi Q. One-step adaptive Markov random field for structured compressive sensing. Signal Processing 2019;156:116-144. Switzerland, 2019. pp 410-426.

Tchapmi L, Kosaraju V, Reid I, Rezatofighi H, Savarese S. Topnet: Structural point cloud decoder. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 383-392.

Teney D, Abbasnejad E, Hengel AVD. On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints. CoRR 2019;abs/1909.13471.

Teney D, Van Den Hengel A. Actively seeking and learning from live data. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:1940-1949.

Teney D, Van Den Hengel A. Actively Seeking and Learning From Live Data. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019. pp 1940-1949.

Teney D, Wang P, Cao J, Liu L, Shen C, Hengel AVD. V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR 2019;abs/1907.12271.

Tian Y, Pu LZ, Singh R, Burt AD, Carneiro G. One-stage five-class polyp detection and. In: Proc IEEE International Symposium on Biomedical Imaging (ISBI) Venice, ITALY. Online, 2019/01/01/. pp 70-73.

Tian Z, He T, Shen C, Yan Y. Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:3121-3130.

Tian Z, Shen C, Chen H, He T. FCOS: Fully convolutional one-stage object detection. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:9626-9635.

Tran T, Do T, Reid I, Carneiro G. Bayesian generative active deep learning. In, 2019/01/01/. pp 10969-10978.

Tran T, Do TT, Reid I, Carneiro G. Bayesian Generative Active Deep Learning. In: Proc International Conference on Machine Learning (IMCL) Long Beach, USA. Online, 2019/05/28/. pp 6295-6304.

Verjans J, Veldhuis W, Carneiro G, Wolterink J, Išgum I, Leiner T. Cardiovascular diseases. In: Ranschaert ER, Morozov S, Algra PR, editors. Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. Cham, Switzerland: Springer; 2019. p 167-185.

Wang C, Kong C, Lucey S. Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. In: Proc 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 27 Oct.-2 Nov. 2019, 2019. pp 743-752.

Wang C, Lucey S, Perazzi F, Wang O. Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. In: Proc 2019 International Conference on 3D Vision (3DV), 16-19 Sept. 2019, 2019. pp 348-357.

Wang P, Liu L, Shen C, Shen H. Order-aware convolutional pooling for video based action recognition. Pattern Recognition 2019;91:357-365.

Wang P, Wu Q, Cao J, Shen C, Gao L, Hengel A. Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In, 2019/06/01/. pp 1960-1968.

Wang X, Liu S, Shen X, Shen C, Jia J. Associatively segmenting instances and semantics in point clouds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:4091-4100.

Ward B, Brien C, Oakey H, Pearson A, Negrão S, Schilling R, Taylor J, Jarvis D, Timmins A, Roy S, Tester M, Berger B, Van Den Hengel A. High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal 2019;98(3):555-570.

Weerasekera C, Garg R, Latif Y, Reid I. Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. In: Proc Asian Conference on Computer Vision, ACCV 2018 Perth, Australia, Switzerland, 2019. pp 609-624.

Wei X, Wang P, Liu L, Shen C, Wu J. Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing 2019;28(12):6116-6125.

Wei X, Zhang C, Liu L, Shen C, Wu J. Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 575-591.

Wei X, Zhang C, Wu J, Shen C, Zhou Z. Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition 2019;88:113-126.

Wu Z, Shen C  van den Hengel A. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition 2019;90:119-133.

Xie F, Zhang L, Gu Q, Chao D, Jaroniec M, Qiao S. Multi-shell hollow structured Sb₂S₃ for sodium-ion batteries with enhanced energy density. Nano Energy 2019;60:591-599.

Xie Y, Lu H, Zhang J, Shen C, Xia Y. Deep segmentation-emendation model for gland instance segmentation. In: Proc Medical Image Computing and Computer-Assisted Intervention (MICCAI) Shenzhen, China. Switzerland, 2019/01/01/. pp 469-477.

Xiong H, Cao Z, Lu H, Madec S, Liu L, Shen C. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods 2019;15(1):150-151-150-114.

Xu W, Liu W, Chi H, Qiu S, Jin Y. Self-paced learning with privileged information. Neurocomputing 2019;362:147-155.

Yan C, Pang G, Bai X, Shen C, Zhou J, Hancock E. Deep hashing by discriminating hard examples. In: Proc ACM International Conference on Multimedia (MM) Nice, France. Online, 2019/10/15/. pp 1535-1542.

Yan Q, Gong D  Shi Q, Van Den Hengel A, Shen C, Reid I, Zhang Y. Attention-guided network for ghost-free high dynamic range imaging. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 1751-1760.

Yan Q, Gong D, Zhang P, Shi Q, Sun J, Reid I, Zhang Y. Multi-scale dense networks for deep high dynamic range imaging. In: Proc IEEE Winter Conference on Applications of Computer Vision (WACV) Waikoloa Village, HI, USA, 2019. pp 41-50.

Yan Q, Gong D, Zhang Y. Two-Stream Convolutional Networks for Blind Image Quality Assessment. IEEE Transactions on Image Processing 2019;28(5):2200-2211.

Yan Y, Huang Y, Chen S, Shen C, Wang H. Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia 2019.

Yao R, Lin G, Shen C, Zhang Y, Shi Q. Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(6):1687-1700.

Yin W, Liu Y, Shen C, Yan Y. Enforcing geometric constraints of virtual normal for depth prediction. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:5683-5692.

Zakizadeh R, Qian Y, Sasdelli M, Vazquez E. Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. In: Proc 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS Las Palmas de Gran Canaria, Spain. Online, 2019. pp 442-448.

Zhan H, Weerasekera C, Garg R, Reid I. Self-supervised learning for single view depth and surface normal estimation. In: Proc International Conference on Robotics and Automation (ICRA) Montreal, Canada. Online, 2019/05/01/. pp 4811-4817.

Zhang H, Li Y, Jiang Y, Wang P, Shen Q, Shen C. Hyperspectral Classification Based on Lightweight 3-D-CNN with Transfer Learning. IEEE Transactions on Geoscience and Remote Sensing 2019;57(8):5813-5828.

Zhang H, Shen C, Li Y, Cao Y, Liu Y, Yan Y. Exploiting temporal consistency for real-time video depth estimation. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:1725-1734.

Zhang J, Wu Q, Zhang J, Shen C, Lu J, Wu Q. Heritage image annotation via collective knowledge. Pattern Recognition 2019;93:204-214.

Zhang J, Wu Q, Zhang J, Shen C, Lu J. Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 2951-2959.

Zhang J, Xie Y, Wu Q, Xia Y. Medical image classification using synergic deep learning. Medical Image Analysis 2019;54:10-19.

Zhang J, Xie Y, Xia Y, Shen C. Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging 2019;38(9):2092-2103.

Zhang J, Xie Y, Zhang P, Chen H, Xia Y, Shen C. Light-weight hybrid convolutional network for liver tumour segmentation. In: Proc International Joint Conference on Artificial Intelligence (IJCAI) Macao, China. Online, 2019/01/01/. pp 4271-4277.

Zhang L, Wang P, Wei W, Lu H, Shen C, van den Hengel A, Zhang Y. Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(5):1339-1349.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE transactions on neural networks and learning systems 2019.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate imagery recovery using a multi-observation patch model. Information Sciences 2019;501:724-741.

Zhang P, Liu W, Lei Y, Lu H. Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection. Pattern Recognition 2019;93:521-533.

Zhang P, Liu W, Lu H, Shen C. Salient object detection with lossless feature reflection and weighted structural loss. IEEE Transactions on Image Processing 2019;28(6):3048-3060.

Zhang P, Liu W, Wang H, Lei Y, Lu H. Deep gated attention networks for large-scale street-level scene segmentation. Pattern Recognition 2019;88:702-714.

Zhang T, Ji P, Harandi M, Hartley R, Reid I. Scalable deep k-subspace clustering. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 466-481.

Zhang T, Lin G, Cai J, Shen T, Shen C, Kot A. Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia 2019;21(11):2930-2941.

Zhang X, Cao J, Shen C, You M. Self-training with progressive augmentation for unsupervised cross-domain person re-identification. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:8221-8230.

Zhuang B, Shen C, Tan M, Liu L, Reid I. Structured binary neural networks for accurate image classification and semantic segmentation. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 413-422.

2018 Annual Report

This annual report marks the completion of our first year of operation.

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Academic publications

Abbasnejad ME, Dick AR, Shi QR, van den Hengel A, Active learning from noisy tagged images. BMVC Workshop, 2018.

Abbasnejad E, Wu Q, Abbasnejad I, Shi J, van den Hengel A. An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR 2018;abs/1812.06398.

Abbasnejad E, Wu Q, Shi J, van den Hengel A. What’s to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR 2018;abs/1812.06401.

Abdi M, Lim CP, Mohamed SMK, Nahavandi S, Abbasnejad E, van den Hengel A. Discriminative Clustering of High-Dimensional Data Using Generative Modelling. 2018. p 799-802.

Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JLR, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez- Fernandez M, Vallee E, Vidaurre D, Webster M, McCarthy P, Rorden C, Daducci A, Alexander DC, Zhang H, Dragonu I, Matthews PM, Miller KL, Smith SM. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage 2018;166:400-424.

Anderson P, Wu Q, Teney D, Bruce J, Johnson M, Sünderhauf N, Reid ID, Gould S, van den Hengel A. Vision-and Language Navigation: Interpreting Visually- Grounded Navigation Instructions in Real Environments. 2018. p 3674-3683.

Ansdell M, Ioannou Y, Osborn H, Sasdelli M, Smith J, Caldwell D, Jenkins J, Räissi C, Angerhausen D. Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning. Astrophysical Journal Letters 2018;869(1).

Battaglini M, Jenkinson M, De Stefano N, Neuroimaging AsD. SIENA-XL for Improving the Assessment of Gray and White Matter Volume Changes on Brain MRI. Human Brain Mapping 2018;39(3):1063-1077.

Bay A, Sidiropoulos P, Vazquez E, Sasdelli M. Hide and Seek tracker: Real- time recovery from target loss. CoRR 2018;abs/1806.07844.

Bozek J, Makropoulos A, Schuh A, Fitzgibbon S, Wright R, Glasser MF, Coalson TS, O’Muircheartaigh J, Hutter J, Price AN, Cordero-Grande L, Teixeira RPAG, Hughes E, Tusor N, Baruteau KP, Rutherford MA, Edwards AD, Hajnal JV, Smith SM, Rueckert D, Jenkinson M, Robinson EC. Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. Neuroimage 2018;179:11-29.

Bustos A, Chin T. Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(12):2868-2882.

Cao Y, Wu Z, Shen C. Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(11):3174-3182.

Cao Y, Zhao T, Xian K, Shen C, Cao Z, Xu S. Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Image Processing 2018.

Carneiro G, Tavares J, Bradley A, Papa J, Belagiannis V, Nascimento J, Lu Z, Conjeti S. DLMIA 2018 Preface. In:

Stoyanov D, Taylor Z, Carneiro G, Syeda- Mahmood T, editors. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 20, 2018 Proceedings; 2018. p VII-VII.

Carneiro G, Tavares J, Bradley A, Papa J, Nascimento J, Cardoso J, Lu Z, Belagiannis V. 1st MICCAI workshop on deep learning in medical image analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2018;6(3):241-242.

Chance SA, Torso M, Jenkinson M. Cortical Disarray Measurement Using Diffusion MRI Correlates with Braak Staging and Improves Amyloid Pet Prediction of Ad Progression. Alzheimer’s & dementia : the journal of the Alzheimer’s Association 2018;14(7):P1245.

Chen B, Ting KM. Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. Advances in Knowledge Discovery and Data Mining; 2018. p 401-412.

Chen B, Ting KM, Washio T, Zhu Y. Local contrast as an effective means to robust clustering against varying densities. Machine Learning 2018;107(8-10):1621-1645.

Chojnacki W, Szpak ZL. Determining ellipses from low resolution images with a comprehensive image formation model. CoRR 2018;abs/1807.06814.

Chojnacki W, Szpak ZL. Full explicit consistency constraints in uncalibrated multiple homography estimation. CoRR 2018;abs/1805.02352.

Connally EL, Ward D, Pliatsikas C, Finnegan S, Jenkinson M, Boyles R, Watkins KE. Separation of trait and state in stuttering. Human Brain Mapping 2018;39(8): 3109-3126.

Do T, Cheung N. Embedding based on function approximation for large scale image search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(3):626-638.

Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Producing radiologist-quality reports for interpretable artificial intelligence. CoRR 2018;abs/1806.00340.

Gong D, Tan M, Shi Q, van den Hengel A, Zhang Y. MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR 2018;abs/1810.05438.

Gong D, Zhang Z, Shi Q, van den Hengel A, Shen C, Zhang Y. Learning an Optimizer for Image Deconvolution. CoRR 2018;abs/1804.03368.

Griffanti L, Jenkinson M, Suri S, Zsoldos E, Mahmood A, Filippini N, Sexton CE, Topiwala A, Allan C, Kivimaki M, Singh-Manoux A, Ebnaeier KP, Mackay CE, Zamboni G. Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults. Neuroimage 2018;170:174-181.

Guo G, Wang H, Shen C,Yan Y, Liao H. Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. IEEE Transactions on Multimedia 2018;20(8):2073-2085.

Harston GWJ, Carone D, Sheerin F, Jenkinson M, Kennedy J. Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures. Stroke 2018;49(7):1647-1655.

Hodgson J, Mott R, Baylis S, Pham T, Wotherspoon S, Kilpatrick A, Raja Segaran R, Reid I, Terauds A, Koh L. Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution 2018;9(5):1160-1167.

Hu Q, Wang P, Shen C, van den Hengel A, Porikli F. Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans Circuits Syst Video Techn 2018;28(6): 1358-1368.

Li H, Wang P, Shen C. Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems 2018.

Li H, Wang P, Shen C, van den Hengel A. Visual Question Answering as Reading Comprehension. CoRR 2018;abs/1811.11903.

Li H, Wang P,You M, Shen C. Reading car license plates using deep neural networks. Image and Vision Computing 2018;72(C):14-23.

Li X, Zhao L, Ji W, Wu Y, Wu F,Yang M, Tao D, Reid I. Multi-task structure-aware context modelling for robust keypoint-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;OnlinePubl:1-13.

Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Lin G, Shen C, van den Hengel A, Reid ID. Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans Pattern Anal Mach Intell 2018;40(6):1352-1366.

Liu F, Lin G, Qiao R, Shen C. Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems 2018;29(6):2631-2637.

Liu H, Ji R, Wang J, Shen C. Ordinal Constraint Binary Coding for Approximate Nearest Neighbour Search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018:1-1.

Liu W, Zhang P, Chen X; Shen C; Huang X, Yang J. Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology 2018.

Lu H, Shen C, Cao Z, Xiao Y, Van Den Hengel A. An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing 2018;27(7):3403-3417.

Ma C, Shen C, Dick AR, Wu Q, Wang P, van den Hengel A, Reid ID. Visual Question Answering With Memory-Augmented Networks. 2018. p 6975-6984.

Makropoulos A, Robinson EC, Schuh A, Wright R, Fitzgibbon S, Bozek J, Counsell SJ, Steinweg J, Vecchiato K, Passerat- Palmbach J, Lenz G, Mortari F, Tenev T, Duff EP, Bastiani M, Cordero-Grande L, Hughes E, Tusor N, Tournier JD, Hutter J, Price AN, Teixeira RPAG, Murgasova M, Victor S, Kelly C, Rutherford MA, Smith SM, Edwards AD, Hajnal JV, Jenkinson M, Rueckert D. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. Neuroimage 2018;173:88-112.

Nekrasov V, Dharmasiri T, Spek A, Drummond T, Shen C, Reid ID. Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. CoRR 2018;abs/1809.04766.

Nekrasov V, Shen C, Reid ID. Diagnostics in Semantic Segmentation. CoRR 2018;abs/1809.10328.

Nguyen D, Vu N, Do T, Nguyen T, Yearwood J. Improving Chamfer template matching using image segmentation. IEEE Signal Processing Letters 2018;25(11):1635-1639.

Page A, Li H. Meal-sensing signalling pathways in functional dyspepsia. Frontiers in Systems Neuroscience 2018;12(ARTN 10).

Pallebage-Gamarallage M, Foxley S, Menke RAL, Huszar IN, Jenkinson M, Tendler BC, Wang CY, Jbabdi S, Turner MR, Miller KL, Ansorge O. Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology. Bmc Neuroscience 2018;19.

Robinson EC, Garcia K, Glasser MF, Chen ZD, Coalson TS, Makropoulos A, BozekJ, Wright R, Schuh A, Webster M, Hutter J, Price A, Grande LC, Hughes E, Tusor N, Bayly PV, Van Essen DC, Smith SM, Edwards AD, Hajnal J, Jenkinson M, Glocker B, Rueckert D. Multimodal surface matching with higher-order smoothness constraints. Neuroimage 2018;167:453-465.

Saillant A, Platsch G, Shah V, Zuehlsdorff S, Jenkinson M, Chappell M. Reliability of myocardial blood flow estimates in abnormal scans. Journal of Nuclear Medicine 2018;59.

Schmid AB, Campbell J, Hurley SA, Jbabdi S, Andersson JL, Jenkinson M, Bangerter NK, Bennett DL, Tracey I, Frost R, Clare S. Feasibility of Diffusion Tensor and Morphologic Imaging of Peripheral Nerves at Ultra-High Field Strength. Investigative Radiology 2018;53(12):705-713.

Sheng B, Shen C, Lin G, Li J, Yang W, Sun C. Crowd counting via weighted VLAD on a dense attribute feature map. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(8):1788-1797.

Snaauw G, Gong D, Maicas G, van den Hengel A, Niessen WJ, Verjans J, Carneiro G. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR 2018;abs/1810.10117.

Teney D, Anderson P, He X, van den Hengel A. Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. 2018. p 4223-4232.

Teney D, van den Hengel A. Visual Question Answering as a Meta Learning Task. ECCV 2018. p 229-245.

Wang L. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Wang P, Wu Q, Cao J, Shen C, Gao L, van den Hengel A. Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CoRR 2018;abs/1812.04794.

Wang P, Wu Q, Shen C, Dick AR, van den Hengel A. FVQA: Fact-Based Visual Question Answering. IEEE Trans Pattern Anal Mach Intell 2018;40(10):2413-2427.

Wang X, Gao L, Wang P, Sun X, Liu X. Two-stream 3-D convNet Fusion for action recognition in videos with arbitrary size and length. IEEE Transactions on Multimedia 2018;20(3):634-644.

Wei X, Xie C, Wu J, Shen C. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognition 2018;76(C):704-714.

Williamson W, Lewandowski AJ, Forkert ND, Griffanti L, Okell TW, Betts J, Boardman H, Siepmann T, McKean D, Huckstep O, Francis JM, Neubauer S, Phellan R, Jenkinson M, Doherty A, Dawes H, Frangou E, Malamateniou C, Foster C, Leeson P. Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults. Jama- Journal of the American Medical Association 2018;320(7):665-673.

Academic publications

Abbasnejad I, Sridharan S, Nguyen D, Denman S, Fookes C, Lucey S. Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. In: Proc 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 22-29 Oct. 2017, 2017. pp 1609-1618.

Abbasnejad M, Dick A, van den Hengel A. Infinite variational autoencoder for semi-supervised learning. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, 2017. pp 781-790.

Abbasnejad M, Shi Q, Abbasnejad I, Hengel A, Dick A. Bayesian Conditional Generative Adverserial Networks. CoRR 2017;abs/1706.05477.

Alismail H, Kaess M, Browning B, Lucey S. Direct Visual Odometry in Low Light Using Binary Descriptors. IEEE Robotics and Automation Letters 2017;2(2):444-451.

Anderson P, He X, Buehler C, Teney D, Johnson M, Gould S, Zhang L. Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR 2017;abs/1707.07998.

Ball D, Upcroft B, van Henten E, van den Hengel A, Tokekar P, Das J. JFR Special Issue on Agricultural Robotics. Journal of Field Robotics 2017;34(6):1037-1038.

Cao Y, Shen C, Shen H. Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing 2017;26(2):836-846.

Carneiro G, Nascimento J, Bradley A. Automated analysis of unregistered multi-view mammograms with deep learning. IEEE Transactions on Medical Imaging 2017;36(11):2355-2365.

Carneiro G, Nascimento J, Bradley A. Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions. In: Zhou S, Greenspan H, Shen D, editors. Deep Learning for Medical Image Analysis. London: Elsevier; 2017.  p 321-339.

Carneiro G, Oakden-Rayner L, Bradley A, Nascimento J, Palmer L. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 130-134.

Carneiro G, Oakden-Rayner L, Bradley AP, Nascimento JC, Palmer LJ. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. IEEE; 2017.  p 130-134.

Carneiro G, Peng T, Bayer C, Navab N. Automatic quantification of tumour hypoxia from multi-modal microscopy images using weakly-supervised learning methods. IEEE Transactions on Medical Imaging 2017;36(7):1405-1417.

Carneiro G, Tavares J, Bradley A, Papa J, Nascimento J, Cardoso J, Belagiannis V, Lu Z. Preface DLMIA 2017. 2017.  p 1-1.

Carneiro G, Zheng Y, Xing F, Yang L. Review of deep learning methods in mammography, cardiovascular, and microscopy image analysis. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 11-32.

Chen Y, Shen C, Wei X, Liu L, Yang J. Adversarial PoseNet: A structure-aware convolutional network for human pose estimation. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 1221-1230.

Chen Z, Jacobson A, Sunderhauf N, Upcroft B, Liu L, Shen C, Reid I, Milford M. Deep Learning Features at Scale for Visual Place Recognition. In: Proc IEEE International Conference on Robotics and Automation, ICRA 2017 Marina Bay Sands, Singapore. Online, 2017. pp 3223-3230.

Cheng LZTP, Campbell B, Carneiro G, Burt AD, Singh R. Computer-aided diagnosis (CAD) for characterising colorectal lesions: Initial results of a newly developed software. WILEY; 2017.  p 251-251.

Chin T, Purkait P, Eriksson A, Suter D. Efficient globally optimal consensus maximisation with tree search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(4):758-772.

Chin TJ, Suter. The Maximum Consensus Problem Recent Algorithmic Advances. USA: Morgan & Claypool Publishers; 2017.

Demarty C, Sjöberg M, Ionescu B, Do T, Gygli M, Duong N. Mediaeval 2017 predicting media interestingness task. In: Proc 2017 Multimedia Benchmark Workshop Dublin. Online, 2017.

Dhungel N, Carneiro G, Bradley A. A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Analysis 2017;37(C):114-128.

Dhungel N, Carneiro G, Bradley A. Combining deep learning and structured prediction for segmenting masses in mammograms. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 225-240.

Dhungel N, Carneiro G, Bradley A. Fully automated classification of mammograms using deep residual neural networks. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 310-314.

Do T, Le Tan D, Pham T, Cheung N. Simultaneous feature aggregating and hashing for large-scale image search. In: Proc 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, HI, 2017/11/06/. pp 4217-4226.

Fagg A, Lucey S, Sridharan S. Fast, Dense Feature SDM on an iPhone. In: Proc 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 30 May-3 June 2017, 2017. pp 95-102.

Faulkner H, Dick A. TenniSet: A dataset for dense fine-grained event recognition, localisation and description. In: Proc International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Sydney, AUSTRALIA. Piscataway, NJ, 2017. pp 1-8.

Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR 2017;abs/1711.06504.

Galoogahi HK, Fagg A, Huang C, Ramanan D, Lucey S. Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 1134-1143.

Galoogahi HK, Fagg A, Lucey S. Learning Background-Aware Correlation Filters for Visual Tracking. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 1144-1152.

Gong D, Tan M, Zhang Y, Hengel A, Shi Q. Self-paced kernel estimation for robust blind image deblurring. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Online, 2017. pp 1670-1679.

Gong D, Tan M, Zhang Y, Van Den Hengel A, Shi Q. MPGL: An efficient matching pursuit method for generalized LASSO. In: Proc 31st AAAI Conference on Artificial Intelligence (AAAI-17) San Francisco, 2017. pp 1934-1940.

Gong D, Yang J, Liu L, Zhang Y, Reid I, Shen C, Hengel A, Shi Q. From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, HI. Online, 2017. pp 3806-3815.

Ham C, Chang M, Lucey S, Singh S. Monocular Depth from Small Motion Video Accelerated. In: Proc 2017 International Conference on 3D Vision (3DV), 10-12 Oct. 2017, 2017. pp 575-583.

Ham C, Singh S, Lucey S. Occlusions are Fleeting - Texture is Forever: Moving Past Brightness Constancy. In: Proc 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 24-31 March 2017, 2017. pp 273-281.

Harwood B, Kumar V, Carneiro G, Reid I, Drummond T. Smart mining for deep metric learning. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 2840-2848.

Hoang T, Do T, Le Tan D, Cheung N. Selective deep convolutional features for image retrieval. In: Proc International Conference on Multimedia (MM) Mountain View, California. Online, 2017. pp 1600-1608.

Hosseinzadeh M, Latif Y, Reid I. Sparse point-plane SLAM. In: Proc 2017 Australasian Conference on Robotics and Automation Sydney. Online, 2017. pp 148-155.

Hu Q, Wang H, Li T, Shen C. Deep CNNs with spatially weighted pooling for fine-grained car recognition. IEEE Transactions on Intelligent Transportation Systems 2017;18(11):3147-3156.

Huang C, Lucey S, Ramanan D. Learning Policies for Adaptive Tracking with Deep Feature Cascades. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 105-114.

Ji P, Li H, Dai Y, Reid I. "Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 929-937.

Ji P, Reid, Garg, i H, Salzmann M. Low-Rank Kernel Subspace Clustering. In: Proc: https://arxiv.org/abs/1707.04974

Ji P, Zhang T, Li H, Salzmann M, Reid I. Deep subspace clustering networks. In: Proc Conference on Neural Information Processing Systems (NIPS) Long Beach, CA, 2017. pp 1-10.

Jian S, Cao L, Pang G, Lu K, Gao H. Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. In: Proc Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17) Melbourne, Australia. Online, 2017. pp 1937-1943.

Johnston A, Garg R, Carneiro G, Reid I, van den Hengel A. Scaling CNNs for high resolution volumetric reconstruction from a single image. In: Proc IEEE International Conference on Computer Vision Workshop (ICCVW 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 930-939.

Khosravian A, Chin T, Reid I, Mahony R. A discrete-time attitude observer on SO(3) for vision and GPS fusion. In: Proc IEEE International Conference on Robotics and Automation (ICRA2017) Singapore, 2017. pp 5688-5695.

Khosravian A, Chin T, Reid I. A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. In: Proc IEEE International Conference on Robotics and Automation (ICRA 2017) Singapore, 2017. pp 6495-6502.

Kim J, Latif Y, Reid I. RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Singapore, 2017/07/21/. pp 5148-5154.

Kong C, Lin C, Lucey S. Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image. In: Proc 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, 2017. pp 5603-5611.

Lai T, Wang H, Yan Y, Chin T, Zhao W. Motion segmentation via a sparsity constraint. IEEE Transactions on Intelligent Transportation Systems 2017;18(4):973-983.

Latif Y, Huang G, Leonard J, Neira J. Sparse optimization for robust and efficient loop closing. Robotics and Autonomous Systems 2017;93(C):13-26.

Le H, Chin T, Suter D. RATSAC - Random tree sampling for maximum consensus estimation. In: Proc 2017 International Conference on Digital Image Computing - Techniques and Applications (DICTA) Sydney, 2017. pp 1-8.

Le H, Chin TJ, Suter D. An exact penalty method for locally convergent maximum consensus. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, HI. Online, 2017. pp 379-387.

Leal-Taixé L, Milan A, Schindler K, Cremers D, Reid I, Roth S. Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. arXiv preprint arXiv:170402781 2017.

Li C, Cao J, Huang Z, Zhu L, Shen HT. Leveraging weak semantic relevance for complex video event classification. In: Proc IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017. pp 3667-3676.

Li C, Huang Z, Yang Y, Cao J, Sun X, Shen HT. Hierarchical latent concept discovery for video event detection. IEEE Transactions on Image Processing 2017;26(5):2149-2162.

Li C, Yang Y, Cao J, Huang Z. Jointly modelling static visual appearance and temporal pattern for unsupervised video hashing. In: Proc International Conference on Information and Knowledge Management (CIKM) Singapore, SINGAPORE, 2017. pp 9-17.

Li H, Wang P, Shen C. Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks. In: Proc 16th IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017/12/22/. pp 5248-5256.

Li J, Zhan H, Chen B, Reid I, Lee G. Deep learning for 2D scan matching and loop closure. In: Proc IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vancouver, Canada, 2017. pp 763-768.

Li Y, Li W, Shen C. Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2017;10(5):1870-1882.

Li Y, Lin G, Zhuang B, Liu L, Shen C, van den Hengel A. Sequential person recognition in photo albums with a recurrent network. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, Hawaii. Online, 2017. pp 5660-5668.

Li Y, Liu L, Shen C, Hengel A. Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision 2017;121(3):344-364.

Liao Z, Carneiro G. A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognition 2017;71:94-105.

Lin C, Lucey S. Inverse Compositional Spatial Transformer Networks. In: Proc 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, 2017. pp 2252-2260.

Lin G, Liu F, Shen C, Wu J, Shen H. Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. International Journal of Computer Vision 2017;123(2):287-308.

Lin G, Milan A, Shen C, Reid I. RefineNet: multi-path refinement networks with identity mappings for high-resolution semantic segmentation. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu, Hawaii. Online, 2017. pp 5168-5177.

Liu C, Yao R, Rezatofighi S, Reid I, Shi Q. Multi-object model-free tracking with joint appearance and motion inference. In: Proc International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Sydney, AUSTRALIA. Piscataway, NJ, 2017. pp 1-8.

Liu F, Lin G, Shen C. Discriminative training of deep fully connected continuous CRFs with task-specific loss. IEEE Transactions on Image Processing 2017;26(5):2127-2136.

Liu L, Wang P, Shen C, Wang L, van den Hengel A, Wang C, Shen H. Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(12):2335-2348.

Liu W, Chen X, Shen C, Liu Z, Yang J. Semi-Global Weighted Least Squares in Image Filtering. In: Proc 16th IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017/12/22/. pp 5862-5870.

Liu W, Chen X, Yang J, Wu Q. Robust colour guided depth map restoration. IEEE Transactions on Image Processing 2017;26(1):315-327.

Lu H, Cao Z, Xiao Y, Zhuang B, Shen C. TasselNet: Counting maize tassels in the wild via local counts regression network. Plant Methods 2017;13(1).

Lu H, Zhang L, Cao Z, Wei W, Xian K, Shen C, Hengel A. When Unsupervised Domain Adaptation Meets Tensor Representations. In: Proc 16th IEEE International Conference on Computer Vision (ICCV 2017) Venice, Italy, 2017. pp 599-608.

Lu Z, Carneiro G, Bradley A, Ushizima D, Nosrati M, Bianchi A, Carneiro C, Hamarneh G. Evaluation of three algorithms for the segmentation of overlapping cervical cells. IEEE Journal of Biomedical and Health Informatics 2017;21(2):441-450.

Maicas G, Carneiro G, Bradley A, Nascimento J, Reid I. Deep reinforcement learning for active breast lesion detection from DCE-MRI. In: Proc International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Quebec City, Canada, 2017. pp 665-673.

Maicas G, Carneiro G, Bradley A. Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 305-309.

Marker R, Chin T, Newsam G. Efficient geometric matching with polar bounds for aligning star field images. In: Proc Australasian Conference on Robotics and Automation (ACRA-2016) Brisbane, QLD, 2017. pp 185-193.

McMahon S, Shen T, Sünderhauf N, Reid I, Shen C, Milford M. Auxiliary tasks to improve trip hazard affordance detection on construction sites. In: Proc Australasian Conference on Robotics and Automation, ACRA 2017 Sydney, Australia. Online, 2017/01/01/. pp 124-132.

Milan A, Rezatofighi H, Dick A, Reid I, Schindler K. Online multi-target tracking using recurrent neural networks. In: Proc 31st AAAI Conference on Artificial Intelligence (AAAI 2017) San Francisco, 2017. pp 4225-4232.

Milan A, Rezatofighi S, Garg R, Dick A, Reid I. Data-driven approximations to NP-hard problems. In: Proc Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17) San Francisco, 2017. pp 1453-1459.

Nascimento J, Carneiro G. Deep learning on sparse manifolds for faster object segmentation. IEEE Transactions on Image Processing 2017;26(10):4978-4990.

Neumann A, Szpak ZL, Chojnacki W, Neumann F. Evolutionary image composition using feature covariance matrices. In: Proc Genetic and Evolutionary Computation Conference, GECCO Berlin, Germany. Online, 2017. pp 817-824.

Ngo T, Carneiro G. Fully automated segmentation using distance regularised level set and deep-structured learning and inference. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017. p 197-224.

Ngo T, Lu Z, Carneiro G. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Analysis 2017;35(C):159-171.

Oakden-Rayner L, Carneiro G, Bessen T, Nascimento J, Bradley A, Palmer L. Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework. Scientific Reports 2017;7(1).

Paisitkriangkrai S, Wu L, Shen C, van den Hengel A. Structured learning of metric ensembles with application to person re-identification. Computer Vision and Image Understanding 2017;156(C):51-65.

Pang G, Cao L, Chen L, Liu H. Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. In: Proc Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17 Melbourne, Australia. Online, 2017. pp 2585-2591.

Pang G, Xu H, Cao L, Zhao W. Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. In: Proc The 2017 ACM Conference on Information and Knowledge Management, CIKM'17 Singapore. Online, 2017. pp 807-816.

Pontes JK, Kong C, Eriksson A, Fookes C, Sridharan S, Lucey S. Compact Model Representation for 3D Reconstruction. In: Proc 2017 International Conference on 3D Vision (3DV), 10-12 Oct. 2017, 2017. pp 88-96.

Pu L, Campbell B, Carneiro G, Burt A, Singh R. Computer-aided diagnosis (CAD) for characterizing colorectal lesions: Initial results of newly developed software. In, 2017/08/01/. pp 34-35.

Purkait P, Chin T, Sadri A, Suter D. Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(9):1697-1711.

Qian Y, Giaccone P, Sasdelli M, Vasquez E, Sengupta B. Algorithmic clothing: Hybrid recommendation, from street-style-to-shop. CoRR 2017;abs/1705.09451.

Qiao R, Liu L, Shen C, van den Hengel A. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition 2017;66(C):202-212.

Ren C, Prisacariu V, Kähler O, Reid I, Murray D. Real-time tracking of single and multiple objects from depth-colour imagery using 3D signed distance functions. International Journal of Computer Vision 2017;124(1):80-95.

Rezatofighi S, Kumar V, Milan A, Abbasnejad E, Dick A, Reid I. DeepSetNet: Predicting sets with deep neural networks. In: Proc IEEE International Conference on Computer Vision (ICCV 2017) Venice, ITALY. Piscataway, NJ, 2017. pp 5257-5266.

Ribeiro D, Carneiro G, Nascimento J, Bernardino A. Multi-channel convolutional neural network ensemble for pedestrian detection. In: Proc 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017/01/01/. pp 122-130.

Ribeiro D, Nascimento J, Bernardino A, Carneiro G. Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognition 2017;61(C):641-649.

Sasdelli M, Hillebrandt W, Kromer M, Ishida E, Röpke F, Sim S, Pakmor R, Seitenzahl I, Fink M. A metric space for type Ia supernova spectra: A new method to assess explosion scenarios. Monthly Notices of the Royal Astronomical Society 2017;464(4):3784-3809.

Sengupta B, Vazquez E, Sasdelli M, Qian Y, Peniak M, Netherton L, Delfino G. Large-scale image analysis using docker sandboxing. CoRR 2017;abs/1703.02898.

Shen T, Lin G, Liu L, Shen C, Reid I. Weakly supervised semantic segmentation based on web image co-segmentation. In, 2017/01/01/.

Shen T, Lin G, Shen C, Reid I. Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. In: Proc 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 Melbourne, Australia. Online, 2017. pp 2708-2714.

Shinmoto Torres R, Shi Q, van den Hengel A, Ranasinghe D. A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive and Mobile Computing 2017;40(C):1-16.

Sünderhauf N, Pham T, Latif Y, Milford M, Reid I. Meaningful maps with object-oriented semantic mapping. In: Proc 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vancouver, Canada, 2017. pp 5079-5085. Switzerland, 2017. pp 148-161.

Teney D, Hebert M. Learning to extract motion from videos in convolutional neural networks. In: Proc Asian Conference on Computer Vision Taipei, Taiwan, 2017. pp 412-428.

Teney D, Hengel AVD. Visual Question Answering as a Meta Learning Task. CoRR 2017;abs/1711.08105.

Teney D, Liu L, Hengel AVD. Graph-Structured Representations for Visual Question Answering. In, 2016.

Teney D, Liu L, van den Hengel A. Graph-structured representations for visual question answering. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, HI. Online, 2017. pp 3233-3241.

Teney D, Wu Q, Van Den Hengel A. Visual Question Answering: a tutorial. IEEE Signal Processing Magazine 2017;34(6):63-75. USA, 2017. pp 3048-3054.

Van Den Hengel AJ. Can machines really tell us if we’re sick? 2017.

Wang L, Liu L, Zhou L. A graph-embedding approach to hierarchical visual word mergence. IEEE Transactions on Neural Networks and Learning Systems 2017;28(2):308-320.

Wang P, Liu L, Shen C, Huang Z, van den Hengel A, Shen H. Multi-attention network for one shot learning. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, HI. Online, 2017. pp 6212-6220.

Wang P, Shen C, Van Den Hengel A, Torr P. Large-scale binary quadratic optimization using semidefinite relaxation and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(3):470-485.

Wang P, Wu Q, Shen C, Dick A, Van Den Hengel A. Explicit knowledge-based reasoning for visual question answering. In: Proc 26th International Joint Conference on Artificial Intelligence (IJCAI-17) Melbourne. Online, 2017. pp 1290-1296.

Wang P, Wu Q, Shen C, Dick A, Van Den Hengel A. FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;40(10):2413-2427.

Wang P, Wu Q, Shen C, van den Hengel A. The VQA-machine: learning how to use existing vision algorithms to answer new questions. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, 2017. pp 3909-3918.

Weerasekera C, Latif Y, Garg R, Reid I. Dense monocular reconstruction using surface normals. In: Proc IEEE International Conference on Robotics and Automation (ICRA) Singapore online, 2017. pp 2524-2531.

Wei X, Zhang C, Li Y, Xie C, Wu J, Shen C, Zhou Z. Deep descriptor Transforming for image co-localization. In: Proc 26th International Joint Conference on Artificial Intelligence Melbourne.

Williams J, Carneiro G, Suter D. Region of interest autoencoders with an application to pedestrian detection. In: Proc International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Sydney, AUSTRALIA. Piscataway, NJ, 2017. pp 580-587.

Wu L, Chunhua S, Van Den Hengel A. Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification. Pattern Recognition 2017;65(C):238-250.

Wu Q, Teney D, Wang P, Shen C, Dick A, van den Hengel A. Visual question answering: A survey of methods and datasets. Computer Vision and Image Understanding 2017;163(C):21-40.

Wu Q, Teney D, Wang P, Shen C, Dick AR, Hengel AVD. Visual question answering: A survey of methods and datasets. Comput Vis Image Underst 2017;163:21-40.

Wu Z, Huang Y, Wang L, Wang X, Tan T. A comprehensive study on cross-view gait based human identification with deep CNNs. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(2):209-226.

Yao R, Shi Q, Shen C, Zhang Y, Van Den Hengel A. Part-based robust tracking using online latent structured learning. IEEE Transactions on Circuits and Systems for Video Technology 2017;27(6):1235-1248.

Zhang Q, Chin T, Suter D. Quasiconvex Plane Sweep for Triangulation with Outliers. In: Proc 16th IEEE International Conference on Computer Vision (ICCV) Venice, ITALY, 2017/12/22/. pp 920-928.

Zhang Q, Chin T. An efficient meta-algorithm for triangulation. In: Proc ACCV 2016 Taipei.

Zhang Z, McAuley J, Li Y, Wei W, Zhang Y, Shi Q. Dynamic programming bipartite belief propagation for hyper graph matching. In: Proc 26th International Joint Conference on Artificial Intelligence Melbourne. Online, 2017. pp 4662-4668.

Zhang Z, Shi Q, McAuley J, Wei W, Zhang Y, Yao R, Van Den Hengel A. Solving constrained combinatorial optimization problems via MAP inference without high-order penalties. In: Proc Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17) San Francisco, 2017. pp 3804-3810.

Zhu M, Dick A, van den Hengel A. Large-scale camera network topology estimation by lighting variation. In: Proc 18th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017) Antwerp, Belgium, 2017/01/01/. pp 455-467.

Zhu R, Galoogahi HK, Wang C, Lucey S. Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image. In: Proc 2017 IEEE International Conference on Computer Vision (ICCV), 22-29 Oct. 2017, 2017. pp 57-65.

Zhuang B, Liu L, Li Y, Shen C, Reid I. Attend in groups: a weakly-supervised deep learning framework for learning from web data. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, HI. Online, 2017. pp 2915-2924.

Zhuang B, Liu L, Shen C, Reid I. Towards context-aware interaction recognition for visual relationship detection. In: Proc IEEE International Conference on Computer Vision (ICCV) Venice, Italy, 2017. pp 589-598.