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Award for Excellence in Collaboration

The collaboration between ACVT and LBT Innovations won the SA Science Excellence award for Research Collaboration for the development of that APAS technology. APAS is an automated agar plate reader, which promises to greatly reduce the cost of this critical pathology procedure. APAS achieve first-in-class FDA approval last year.  

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We’re number one in VQA 2.0

A team led by Damien Teney (ACVT) and Peter Anderson (ACRV, ANU, and Microsoft) has just placed first in the VQA 2.0 challenge. Other members of the team include David Golub from Stanford, Po-Seng Huang, Lei Zhang and Xiaodong He from Microsoft, and Anton van den Hengel from ACVT. The leaderboard is here.

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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.  There will be more submitted as the deadline approaches, but we’ll improve our performance also.  So we’re not there yet, but we’re in a very good position. The task of Visual […]

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Number 1 in Semantic Segmentation

Congratulations to Zifeng and Chunhua on having made it to the top of the Cityscapes leaderboard again. Cityscapes is a semantic segmentation dataset of city scenes, and a hotly contested international challenge.  The challenge is to separate the pixels belonging to different classes of objects.  Semantic Segmentation is one of the fundamental challenges in computer […]

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Medical machine learning on the Conversation

We just had a piece on medical machine learning published in the Conversation.

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ACVT technology gets FDA approval

The 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.  The processing of Agar plates is an important and time-consuming part of the normal operation of hospitals and clinics around the world. […]

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Number 2 in ImageNet Scene Parsing Challenge 2016

We’ve had another great year in the ImageNet competition.  We came 2nd in the Scene Parsing challenge, which requires pixelwise segmentation of a large set of images into 150 classes of things and stuff.  The ImageNet Challenge is one of the most hotly contested challenges in Computer Vision, and is constantly updated to reflect the current […]

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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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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 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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The Australian Centre for Visual Technologies
Address

Level 5, Ingkarni Wardli,
The University of Adelaide,
North Terrace,
Adelaide, 5005

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Phone: +61 8 8313 5309
Fax: +61 8 8313 4366