Tao Xiang

Affiliations:
  • Queen Mary University of London, London, UK


According to our database1, Tao Xiang authored at least 19 papers between 2001 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2014
Uncooperative gait recognition by learning to rank.
Pattern Recognit., 2014

Background Subtraction with DirichletProcess Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Active Rare Class Discovery and Classification Using Dirichlet Processes.
Int. J. Comput. Vis., 2014

2013
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
In Defence of Negative Mining for Annotating Weakly Labelled Data.
Proceedings of the Computer Vision - ECCV 2012, 2012

Gait Recognition by Ranking.
Proceedings of the Computer Vision - ECCV 2012, 2012

Background Subtraction with Dirichlet Processes.
Proceedings of the Computer Vision - ECCV 2012, 2012

Transfer Learning by Ranking for Weakly Supervised Object Annotation.
Proceedings of the British Machine Vision Conference, 2012

2011
Weakly supervised object detector learning with model drift detection.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Weakly Supervised Action Detection.
Proceedings of the British Machine Vision Conference, 2011

Active Learning using Dirichlet Processes for Rare Class Discovery and Classification.
Proceedings of the British Machine Vision Conference, 2011

2010
Video topic modelling with behavioural segmentation.
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis, 2010

Action Detection in Crowd.
Proceedings of the British Machine Vision Conference, 2010

2004
On the distortion of shape recovery from motion.
Image Vis. Comput., 2004

2003
Understanding the Behavior of SFM Algorithms: A Geometric Approach.
Int. J. Comput. Vis., 2003

Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Distortion of Shape from Motion.
Proceedings of the British Machine Vision Conference 2002, 2002

2001
Characterizing Depth Distortion under Different Generic Motions.
Int. J. Comput. Vis., 2001


  Loading...