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Computer Vision Group: Computer Vision Research at Queen Mary, University of London

Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.

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Computer Vision Group: Computer Vision Research at Queen Mary, University of London | vision.eecs.qmul.ac.uk Reviews
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Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.
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Computer Vision Group: Computer Vision Research at Queen Mary, University of London | vision.eecs.qmul.ac.uk Reviews

https://vision.eecs.qmul.ac.uk

Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.

INTERNAL PAGES

vision.eecs.qmul.ac.uk vision.eecs.qmul.ac.uk
1

Join

http://vision.eecs.qmul.ac.uk/join

Computer Vision Research at Queen Mary, University of London. Able candidates are sought to undertake an MSc in Advanced Methods in Computer Science, or Msc in Intelligent Imaging Systems. A number of project-based research positions may be available. Please see our research pages. Suitably qualified eligible candidates will be nominated for EPSRC, departmental or college studentships. Our research interests include:. Face, gesture and action recognition. Smart content and video indexing. Time ago 21 Days.

2

Publications

http://vision.eecs.qmul.ac.uk/publications

Computer Vision Research at Queen Mary, University of London. 1st University in Europe to install Nvidia Deep Learning Supercomputer DGX-1 t.co/Zi3JMRUKSd. Time ago 21 Days. Via Twitter Web Client. Dr Xun Xu t.co/fJJKKyDYcT. Has just passed his PhD viva. Time ago 23 Days. Via Twitter Web Client. 3 papers accepted at ECCV 2016! Time ago 24 Days. Via Twitter Web Client. Congratulations to Yanwei Fu who passes his PhD Viva. Time ago 701 Days. Via Twitter Web Client. Time ago 808 Days. Via Twitter Web Client.

3

People

http://vision.eecs.qmul.ac.uk/people

Computer Vision Research at Queen Mary, University of London. Sgg@eecs.qmul.ac.uk. Http:/ www.eecs.qmul.ac.uk/ sgg/. Pmco@eecs.qmul.ac.uk. Http:/ www.eecs.qmul.ac.uk/ pmco/. Andrea.cavallaro@eecs.qmul.ac.uk. Http:/ www.eecs.qmul.ac.uk/ andrea/. Dr Tao Xiang (Reader). Http:/ www.eecs.qmul.ac.uk/ txiang/. Dr Yi-Zhe Song (Lecturer). Yizhesong@eecs.qmul.ac.uk. Http:/ www.eecs.qmul.ac.uk/ yzs/. Dr Miles Hansard (Lecturer). Mileshansard@eecs.qmul.ac.uk. Http:/ www.eecs.qmul.ac.uk/ milesh/. Juan C. SanMiguel.

4

Events

http://vision.eecs.qmul.ac.uk/seminars

Computer Vision Research at Queen Mary, University of London. Forthcoming events and seminars. 8216;Face and People Identification’. By Stan Li — National Lab of Pattern Recognition, Chinese Academy of Sciences, 15.00-16.00, Mon 1st Sept, 2014. 8216;A series of talks in the framework of the 2014 Intelligent Sensing Summer School’. By — the Centre for Intelligent Sensing, QMUL, 26th-28th August, 2014. Past events and seminars. 8216;Automated Mobility: How environment awareness technologies will. 8216;Seei...

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zhiyshi.com zhiyshi.com

iccv_bibtex | Zhiyuan Shi

https://zhiyshi.com/iccv_bibtex

InProceedings{Shi 2013 ICCV,. Author = {Zhiyuan Shi and Timothy M. Hospedales and Tao Xiang},. Title = {Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation},. Booktitle = {The IEEE International Conference on Computer Vision (ICCV)},. Month = {December},. Most popular ML talks. Vision group of QMUL. Blog at WordPress.com.

zhiyshi.com zhiyshi.com

Publication | Zhiyuan Shi

https://zhiyshi.com/publication

Weakly Supervised Learning of Objects, Attributes and their Associations. Zhiyuan Shi ,. Yongxin Yang, Timothy M. Hospedales and Tao Xiang. European Conference on Computer Vision (ECCV 2014). Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. Timothy M. Hospedales and Tao Xiang. International Conference on Computer Vision (ICCV 2013). Transfer Learning by Ranking for Weakly Supervised Object Annotation. Parthipan Siva and Tao Xiang. Suoju He and Junping Wang,. Most popular ML talks.

zhiyshi.com zhiyshi.com

Zhiyuan Shi

https://zhiyshi.com/me

I’m a fourth year PhD student advised by Tao Xiang. I am also working closely with Timothy Hospedales. Before coming to QMUL, I graduated from BUPT. With a Bachelor of Science in Electronic Engineering. Currently, I am interested in computer vision (object localisation, attribute learning), machine learning (probabilistic graphical models, weakly supervised learning). Weakly Supervised Learning of Objects, Attributes and their Associations. Yongxin Yang, Timothy M. Hospedales and Tao Xiang.

zhiyshi.com zhiyshi.com

eccv_bibtex | Zhiyuan Shi

https://zhiyshi.com/eccv_bibtex

InProceedings{Shi 2014 ECCV,. Author = {Zhiyuan Shi and Yongxin Yang and Timothy M. Hospedales and Tao Xiang},. Title = {Weakly Supervised Learning of Objects, Attributes and their Associations},. Booktitle = {The European Conference on Computer Vision (ECCV)},. Most popular ML talks. Vision group of QMUL. Blog at WordPress.com.

zhiyshi.com zhiyshi.com

bmvc2012_bibtex | Zhiyuan Shi

https://zhiyshi.com/bmvc2012_bibtex

InProceedings{Shi 2012 BMVC,. Author = {Zhiyuan Shi and Parthipan Siva and Tony Xiang},. Title = {Transfer Learning by Ranking for Weakly Supervised Object Annotation},. Booktitle = {Proceedings of the British Machine Vision Conference(BMVC)},. Most popular ML talks. Vision group of QMUL. Blog at WordPress.com.

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Computer Vision Group: Computer Vision Research at Queen Mary, University of London

Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.

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