TORR VISION GROUP

Torr Vision Group (formerly known as Brookes Vision Group, Oxford Brookes University) in the Department of Engineering Science at University of Oxford, was formed in 2005 and later moved to University of Oxford in 2013, is led by Professor Philip Torr. The aim of the group is to engage in state of the art research into the mathematical theory of computer vision and artificial intelligence, but to keep the mathematical research relevant to the needs of society.

Breaking News

  • 10 March 2021

    Visiting Professor

    Professor Torr appointed a Visiting Professor at the Faculty of Technology, Design and Environment, Oxford Brookes University
  • 24 July 2020

    FREng

    Professor Torr elected to be Fellow of the Royal Academy engineering.
  • 24 July 2020

    Ellis Fellow

    Professor Torr has been elected to be an Ellis Fellow.
  • 24 July 2020

    BMVA Distinguished Fellow

    Professor Torr named distinguished fellow by the British Machine Vision Association.

About TVG

The aim of the group is to engage in state of the art research into the mathematical theory of computer vision and artificial intelligence, but to keep the mathematical research relevant to the needs of society. A particular emphasis of the group has been on real time understanding and reconstruction of the world around using mobile cameras, such as those on drones, intelligent glasses or other robots. Examples of which can be seen here CRF-RNN and here Semantic Paint . Members of the group have won major awards in all the main conferences in the field including the International Conference on Computer Vision (ICCV), CVPR, ECCV, BMVC, NeurIPS as well as various thesis awards for the students, and industrial awards such as best Knowledge Transfer Partnership. We have collaborated with many exciting high tech companies including Google, Sony, Microsoft, Technicolor, and Sharp.

Join the Lab

We are currently looking to hire both talented post docs and doctoral students, please contact Professor Torr philip.torr@eng.ox.ac.uk .