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TAG: Machine Learning
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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ARC Success! Congratulations to Prof Anton van den Hengel and Dr Anthony Dick
Congratulations to Anton and Anthony who have secured $330,000 of Discovery Project funding in the 2012 ARC round! TITLE: Learning to see in 3D PROJECT SUMMARY: The project aims to endow machine vision with an ability we, as humans, use almost constantly: to judge 3D properties from a 2D image. This extremely useful ability will be applied […]
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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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New academic appointed-Dr Chunhua Shen
Dr Chunhua Shen, previously of the NICTA Bionic Vision Project, has accepted a position in the School of Computer Science and the ACVT. Dr Shen is a leading Computer Vision expert and particularly strengthens ACVT expertise in Machine Learning.
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ACVT ARC Discovery Projects success
Profs David Suter and Anton van den Hengel were both awarded ARC Discovery Grants to begin in 2011. They are: Computer vision from a multi structural analysis framework, Prof D. Suter. 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 […]
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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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