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World's best Coco
The Microsoft COCO Captioning Challenge is designed to spur the development of algorithms producing image captions that are informative and accurate.
AIML semantic image segmentation technique tops the PASCAL VOC Challenge
Researchers at AIML (formerly ACVT) have developed new “Deep Structured Learning” techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by Oxford University. Semantic image segmentation is one of the tasks and probably the most challenging one, which is to label each pixel in images.
[Read more about AIML semantic image segmentation technique tops the PASCAL VOC Challenge]
CVPR 2015 Best Workshop Paper Award
In conjunction with the success of the Australian Centre for Robotic Vision’s workshops at CVPR2015 in Boston:
Honourable paper at CVPR 2015
Congratulations to TJ, Pulak, Anders and David. Their paper, Efficient Globally Optimal Consensus Maximisation with Tree Search, recently was awarded a Best Paper Honourable Mention at CVPR.
12 papers at CVPR 2015
The AIML (formerly ACVT) had 12 papers accepted to IEEE Computer Vision and Pattern Recognition 2015 (CVPR’15), one of the top 2 conferences in Computer Vision, which must be an Australian record.
Best Paper award for Prof Ian Reid at 3DV2014
Professor Ian Reid and colleagues from Oxford have been awarded the Best Paper Award at the International Conference on 3D Vision, held in Tokyo, Japan from 8-11 December 2014
[Read more about Best Paper award for Prof Ian Reid at 3DV2014]
PhD student wins Best Paper prize at ACCV 2014
Zhenhua Wang, a final year PhD student at ACVT (now AIML) has won the prestigious Best Paper prize at the 12th Asian Conference on Computer Vision (ACCV14) in Singapore.
[Read more about PhD student wins Best Paper prize at ACCV 2014]
LBT Innovations presents APAS study results
LBT Innovations (ASX:LBT) has published the details of its extensive study into the accuracy of its Automated Plate Assessment System (APAS).
[Read more about LBT Innovations presents APAS study results]
PhD Scholarships in Visual SLAM and Computer/Robotic Vision and Machine Learning for visual recognition
The Australian Centre for Visual Technologies (ACVT-now AIML) at The University of Adelaide has 12 PhD scholarships available for both local and international students interested in pursuing a PhD. These Scholarships are funded from an ARC Laureate Fellowship to Prof Ian Reid entitled “Lifelong Computer Vision Systems”, and an ARC Centre of Excellence in Robotic Vision, with Investigators Prof Reid, Prof Chunhua Shen, Dr Gustavo Carneiro and Prof Anon Van den Hengel.
CRC Success
It has just been announced that the Data to Decisions (D2D) CRC application was successful. The ACVT (now AIML) forms a major node of the D2D CRC, being responsible for the analytics program within the CRC. The aim of the D2D CRC is to develop robust data analysis tools applicable to problems of importance to Defence, and other industries.