BLOGS WEBSITE

TAG: ARC

Recognising and reconstructing objects in real time from a moving camera (DP130104413)

ACVT has been awarded a 3 year ARC Discovery Grant valued at $358,000. The CIs on the grant are Prof. Ian Reid and Dr Anthony Dick. The aim of this project is to visually understand an environment as seen from a moving camera in real time. This entails the recovery of 3D shape and the […]

Posted in 3D Modelling, Projects, Research | Tagged , , |

Comments Off on Recognising and reconstructing objects in real time from a moving camera (DP130104413)

ARC LIEF Grant Success

ACVT has been awarded $210,000 through the ARC Linkage Infrastructure and Equipment Facilities (LIEF) program to further develop its Machine Learning capacity. Machine learning is responsible for many recent advances in image-based information analysis, from finding minerals in satellite images, to image-based guidance of autonomous vehicles. This progress is due to new methods for learning […]

Posted in Machine Learning, News, Research | Tagged , , , |

Comments Off on ARC LIEF Grant Success

Computational infrastructure for machine learning in computer vision (LE130100156)

ACVT has been awarded an ARC LIEF Grant valued at $210,000. The funding will facilitate the acquisition of equipment and infrastructure to support the ACVTs work in Machine Learning. The CIs on the project are Prof. Anton van den Hengel, Prof. Ian Reid, Prof. David Suter, Dr Anthony Dick and Dr Chunhua Shen. Machine learning […]

Posted in Machine Learning, Projects, Research | Tagged , , |

Comments Off on Computational infrastructure for machine learning in computer vision (LE130100156)

ARC Success! Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter!

Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter! Well done on the following ARC 2013 grants that were recently awarded: Prof Ian Reid and Dr Anthony Dick have secured $358,000 of ARC funding over the next three years for the below DP: Title: Recognising and reconstructing […]

Posted in 3D Modelling, Machine Learning, News, Parameter Estimation, Research | Tagged |

Comments Off on ARC Success! Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter!

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 […]

Posted in Machine Learning, Projects, Research | Tagged , , |

Comments Off on Scalable classification for massive datasets: randomized algorithms (LP120200485)

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 […]

Posted in Machine Learning, Projects, Research | Tagged , |

Comments Off on Continuously learning to see (FT120100969)

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 […]

Posted in 3D Modelling, Machine Learning, Projects, Research | Tagged , , , |

Comments Off on Learning to see in 3D (DP120101172)

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 […]

Posted in Machine Learning, Projects, Research | Tagged , |

Comments Off on Compressive Sensing Based Probabilistic Graphical Models (DE120101161)

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 […]

Posted in 3D Modelling, Machine Learning, News, Research | Tagged , , |

Comments Off on ARC Success! Congratulations to Prof Anton van den Hengel and Dr Anthony Dick

DECRA Success! Congratulations to Dr Javen Shi

Well done to Javen who has been awarded $375,00o of DECRA funding through the ARC in the 2012 round!! Only 277 proposals were awarded from over 2,100 applications. This is a fabulous result for Javen, congratulations! Title: Compressive sensing based probabilistic graphical models (PGM) Project Summary: The aim of the project is to develop fast, large scale […]

Posted in News, Parameter Estimation, Research | Tagged , |

Comments Off on DECRA Success! Congratulations to Dr Javen Shi