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Category: Projects
This a list of projects undertaken by members of the ACVT.
Scalable classification for massive datasets: randomized algorithms (LP120200485)
ACVT has been awarded a 3 year ARC Linkage Grant valued at $510,000. The industry partner on the grant is LBT Innovations, an SA based biomedical company. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen and Dr Qinfeng Shi. Classification is a fundamental data analysis technology and is applied […]
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Continuously learning to see (FT120100969)
Dr Chunhua Shen of the ACVT has been awarded a 4 year ARC Future Fellowship grant valued at $644,671. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods […]
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Learning to see in 3D (DP120101172)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $330,000. The CIs on the project are Prof. Anton van den Hengel and Dr Anthony Dick. The aim of this project is to collect and analyse a large collection of digital images and their associated depth maps, in order to formulate a method […]
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Compressive Sensing Based Probabilistic Graphical Models (DE120101161)
Dr Qinfeng Shi of the ACVT has been awarded a 3 year ARC DECRA Grant valued at $375,000. Probabilistic Graphical Models (PGMs) use graphs to represent the interactions between random variables and provide a formalism by which to represent complex probabilistic relationships. Despite the success of PGMs in many fields, the learning on real industrial […]
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Improving yield through image-based structural analysis of cereals (LP110200971)
ACVT has been awarded a 3 year ARC Linkage Grant valued at $475,000. Bayer CropScience is the industry partner on the grant. The CIs are Prof. Anton van den Hengel and Prof. Mark Tester of the Plant Accelerator based at the University of Adelaide’s Waite Campus. Meeting the food requirements of a growing world population […]
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Content Based Image Retrieval
The World Wide Web is a visual place, full of images and video. As of September 2010, Flickr hosts over 5 billion photos, while over 2 billion videos are watched every day on Youtube. This is a vast store of information, but how can we find what we want? Currently, images are almost always identified […]
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Multi-model predictions of ecosystem flux under climate change based on novel genetic and image analysis methods (FS110200051)
ACVT is collaborating with University of Adelaide scientists to develop image analysis methods that can be applied to model biodiversity. Prof. Anton van den Hengel is a CI on the project being led by Prof. Andy Lowe. The ARC has awarded the University of Adelaide a Super-Science Fellowship valued at $556,800 to do this work. The […]
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Added depth: automated high level image interpretation (DP110103521)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $240,000. The CIs are Prof. Anton van den Hengel in collaboration with Dr Philip Torr of Oxford-Brookes University and Dr Simon Lucey of CSIRO. Automated image interpretation has been one of the landmark goals of Artificial Intelligence since its inception. It is only […]
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Computer vision from a multi-structural analysis framework (DP110103637)
Prof. David Suter has been awarded a 3 year ARC Discovery Grant valued at $300,000. Computer vision has applications in a wide variety of areas: security (video surveillance), entertainment (special effects), health care (medical imaging), and economy (improved automation and consumer products). This project will improve the accuracy and reliability of such applications. Advances will […]
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Accelerating Australia’s Large Scale Video Surveillance Research Programmes (LE100100235)
ACVT has been awarded an ARC LIEF Grant valued at $280,000 to acquire equipment and infrastructure to support research in large scale video surveillance. The CIs include Prof. Anton van den Hengel, Prof. David Suter, Prof. Mike Brooks, Dr Anthony Dick, Dr Henry Detmold and Dr Chunhua Shen. This project will construct a world-class video […]
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