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ACVT Medical Imaging tech achieves 98% in FDA trials
From the LBT annual report: 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. Culture plates from 5,500 patients were processed by APAS and simultaneously assessed by a panel of independent qualified microbiologists. The results showed that APAS achieved over […]
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ACVT joins the Australian Driverless Vehicle Initiative
The ACVT has joined the Australian Driverless Vehicle Initiative (ADVI), the peak body for driverless vehicles in Australia. The goal of the Australian Driverless Vehicle Initiative is to build momentum by rapidly exploring the impacts and requirements of this new technology in an Australian context and making recommendations on ways to safely and successfully bring self-driving […]
A new Machine Learning result in Quantum Physics
John Bastian and Anton van den Hengel are among the authors of a new paper just published in Nature Scientific Reports. The paper describes a Machine Learning-based approach to generating Bose-Einstein Condensates (BECs). One of the difficulties in generating BECs is the need to cool Rubidium ions down to 10^-9 degrees Kelvin. This is achieved […]
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We’re in the top 5 groups in 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. The two best journals (PAMI and ICCV) rank second and third, […]
10 PAMIs and 28 CVPRs in just over a year
The 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. IEEE Pattern Analysis and Machine Intelligence is the best journal in the field, and IEEE Conference on Computer Vision and […]
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We beat Google at ImageNet Detection
The ImageNet Object Detection results are out, and we did extremely well! We place 4th, behind Microsoft, Qualcomm, and Chinese University of Hong Kong, but ahead of Google, Intel, and Tencent. This is all the more impressive as we had a fraction of the computing resources of these competitors.
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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. For each image, algorithms must produce a set of annotations (ci,si,bi)of […]
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Postdoctoral Research Fellowship/Senior Postdoctoral Research Leader
We are seeking to fill 2 positions in computer vision, robotic vision, SLAM and machine learning. Postdoctoral Research Fellowship We are seeking to appoint a postdoctoral researcher who will contribute to priojects in one or more of the following areas: visual SLAM, large-scale object recognition, visual scene understanding, robust statistical methods, scene reconstruction and visual […]
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Second Scenes from Video workshop to be held in Chile
Michael Black and Anton van den Hengel are organising the Second Scenes from Video workshop, which will be held in the Colchagua Valley, one of Chile’s pre-eminent wine regions, and will include a variety of functions and excursions exploring the region and its fare. The Workshop will be the second in the series, held in […]
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 University of Adelaide developed innovative “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 the University of Oxford. The Adelaide team […]
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