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ARC Centre of Excellence for Robotic Vision (CE140100016)

ACVT researchers Prof. Ian Reid, Prof. Anton van den Hengel, Associate Prof. Chunhua Shen and Dr. Gustavo Carneiro are part of a team that has been awarded a prestigious ARC Centre of Excellence in Robotic Vision. The Centre has received $19M of funding and will conduct a 7-year program of research with the following focus […]

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Automated analysis of multi-modal medical data using deep belief networks (DP140102794)

Dr Gustavo  Carniero has won a 3 year ARC Discovery Grant valued at $295,000. The project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a […]

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Online Learning for Large Scale Structured Data in Complex Situation (DP140102270)

ACVT has been awarded a 3 year ARC Discovery Grant valued at  $380,787. The project will be led by Dr Qinfeng Shi and will include collaboration with Charles Sturt University and the University of Southampton. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in […]

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Lifelong Computer Vision Systems (FL130100102)

Prof. Ian Reid of the ACVT has been awarded an ARC Laureate Fellowship valued at $3,179,946. The aim of the project is to develop robust computer vision systems that can operate over a wide area and over long periods. This is a major challenge because the geometry and appearance of an environment can change over […]

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Congratulations to Prof Ian Reid who has been awarded a prestigious Australian Laureate Fellowship

Professor Ian Reid has been awarded a prestigious Australian Laureate Fellowship. The aim of the scheme is to attract and retain outstanding researchers and research leaders of international repute and build and strengthen world-class research capability in Australia. Professor Reid’s project is “Lifelong Computer Vision Systems” which will create new ways of generating detailed environmental maps […]

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Accessing Australia’s Photographic History (LP130101064)

ACVT has been awarded a 2 year ARC Linkage Grant valued at $150,000. The partner organisation is the South Australian Maritime Museum. The CIs on the project are Prof. Anton van den Hengel, Dr Anthony Dick and Prof. Ian Reid. Australian museums have vast collections of photographs documenting our national history. This project proposes an […]

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Semantic change detection through large-scale learning (LP130100156)

ACVT has been awarded a 3 year ARC Linkage Project valued at $377,000. The industry partner is BAE Systems. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen, Dr Anders Eriksson and Dr Qinfeng Shi. Identifying whether there has been a significant change in a scene from a set of […]

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Visual tracking with environmental constraints (LP130100154)

ACVT has been awarded a 3 year ARC Linkage Project valued at $345,000. The industry partner is Champion Data, a Melbourne based sports statistics company. The CIs on the project are Dr Anthony Dick and Prof. Ian Reid. Tracking people in video is a key problem in computer vision, with widespread application in areas such […]

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Improved image analysis: maximised statistical use of geometry/shape constraints (DP130102524)

Prof. David Suter and Dr Tat-Jun Chin have been awarded a 3 year ARC Discovery Grant valued at $330,000. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of […]

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Distributed Large-scale Optimization Methods in Computer Vision (DE130101775)

Dr Anders Eriksson of the ACVT has been awarded a 3 year ARC DECRA Fellowship valued at $375,000. Computer vision concerns itself with understanding the real world through the analysis of images. With the number of images and video available over the internet reaching several billions, and growing, this has begun to revolutionize the field. […]

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The Australian Centre for Visual Technologies
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