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First place!
Results for the REFUGE Retinal Fundus Glaucoma Challenge are in! First place in the Segmentation leaderboard and also in the Segmentation of Nuclei competition.
NVIDIA Pioneer Award
Dr Qi Wu (ACRV / AIML) has been awarded the prestigious NVIDIA Pioneer Award for his paper 'Learning semantic concepts and order for image and sentence matching' at the Computer Vision and Pattern Recognition conference in Salt Lake City.
We're number one in VQA 2.0
A team led by Damien Teney (AIML) and Peter Anderson (ACRV, ANU, and Microsoft) has just placed first in the VQA 2.0 challenge.
Adelaide ranks 43 in the world in Computer Science and Engineering
Not that these ranking exercises mean all that much, but the latest Shanghai ratings put the University of Adelaide at 43 in the world in Computer Science and Engineering, above Cambridge, Caltech, Peking and Delft.
[Read more about Adelaide ranks 43 in the world in Computer Science and Engineering]
Number one in the world in Visual Question Answering again, for now
Entries for the latest VQA v2 challenge close on Monday morning, and we’re currently number one amongst the entries that have been submitted thus far.
[Read more about Number one in the world in Visual Question Answering again, for now]
Award for Excellence in Collaboration
The collaboration between AIML and LBT Innovations won the SA Science Excellence award for Research Collaboration for the development of that APAS technology.
Another great CVPR result
The group had 11 CVPR papers accepted this year, which is another incredible result.
Number one in Semantic Segmentation
Congratulations to Zifeng Wu and Chunhua Shen on having made it to the top of the Cityscapes leaderboard again.
Medical Machine Learning in The Conversation
We just had a piece on medical machine learning published in the Conversation.
[Read more about Medical Machine Learning in The Conversation]
AIML technology gets FDA approval
AIML (formally ACVT) has been working with LBT Innovations, a South Australian medical device company, for more than 5 years on a new form of medical device to automate the reading of Agar plates.
