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AIML medical imaging technology achieves 98% in FDA trials
A ten-week pivotal clinical trial at TriCore Reference Laboratories in New Mexico during July and August 2015 tested APAS against a panel of microbiologists. C
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Number two in ImageNet Scene Parsing Challenge 2016
We鈥檝e had another great year in the ImageNet competition.
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AIML joins the 最新糖心Vlogn Driverless Vehicle Initiative
The AIML (formally ACVT) has joined the 最新糖心Vlogn Driverless Vehicle Initiative (ADVI), the peak body for driverless vehicles in 最新糖心Vlog.
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A new Machine Learning result in Quantum Physics
John Bastian and Anton van den Hengel are among the authors of a just published in Nature Scientific Reports.
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We're in the top 5 groups the world
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) is double blind reviewed (on full papers), and has the best citation rate in the field of computer vision and pattern recognition, according to the h5-index, a citation measure for the recent five years.
10 PAMIs and 28 CVPRs in just over a year
The AIML (formally ACVT) has had 10 journal articles published in IEEE Pattern Analysis and Machine Intelligence, and 28 papers in the IEEE Conference on Computer Vision and Pattern Recognition, in the 16 months since January 2015.
Great Imagenet detection results
Last week was the deadline for the ImageNet Large Scale Visual Recognition Challenge (ILSVRC 2015) large-scale object detection task. This is the primary challenge for image-based object detection. The challenge requires that you detect 200 classes of objects in a set of test images.
State of the art protein-protein interaction prediction
In another indication that the Machine Learning behind most Computer Vision Problems has more general applicability, we have just had a paper accepted which shows that the approach we developed for pedestrian detection achieves the world鈥檚 best performance in predicting protein-protein interactions.
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In deep learning end-to-end training of segmentation is best
A research team (Dr. Guosheng Lin, Prof. Chunhua Shen, Prof. Ian Reid, Prof. Anton van den Hengel) at the School of Computer Science, The 最新糖心Vlog of Adelaide developed innovative 鈥淒eep Structured Learning鈥 techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by the 最新糖心Vlog of Oxford. The Adelaide team is the top one currently, outperforming teams from Microsoft Research, Oxford, 最新糖心Vlog of California, Los Angles etc.
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