Professor Shaogang Gong

School of Electronic Engineering and Computer Science

Queen Mary University of London

London E1 4NS, United Kingdom
Tel: +44 (0)20-7882 5249

Fax: +44 (0)20-7882 7064

Email: s.gong AT qmul.ac.uk

 

Shaogang (Sean) Gong is Professor of Visual Computation at Queen Mary University of London. Gong established the Queen Mary Computer Vision Laboratory in 1993 and have enjoyed immensely working with PhD students and postdoctoral researchers. His work is in Computer Vision, with a focus on Human Idenfitication, Behaviour Recognition, Video Content Analysis, and Visual Surveillance. Brief bio and publications pdf download (Google Scholar).

 


WORKSHOPS

International Workshop on Visual Surveillance and Re-Identification (VS-Re-ID 2014), in conjunction with ECCV'2014, 12 September 2014, Zurich, Switzerland.

IEEE Workshop on Analysis and Modelling of Faces and Gestures, in conjunction with CVPR'2013, 28 June 2013, Portland, Oregon, USA.

First International Workshop on Re-Identification (Re-Id 2012), in conjunction with ECCV'2012, 12 October 2012, Florence, Italy.


PROJECTS

SmartPrevent (Smart Video-Surveillance System to Detect and Prevent Local Crimes in Urban Areas)

SUNNY (Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY)

SAMURAI (Suspicious and Abnormal Behaviour Monitoring Using a Network of Cameras for Situation Awareness Enhancement)

BEWARE (Behaviour based Enhancement of Wide-Area Situational Awareness in a Distributed Network of CCTV Cameras)

VISTA (Video Analytics for Real-Time Human Profiling)

INSIGHT (Video Analysis and Selective Zooming using Semantic Models of Human Presence and Activity)

Fusion of Multimodal Biometrics for Non-Intrusive Person Identification in CCTV

ViTAB (Video-based Threat Assessment and Biometrics) Network

SERVE (Surveillance, Evaluation, Research, Validation, and Exploitation) Network

ICONS (Incident Recognition for Surveillance and Security)

ISCANIT (Recognising Intention in Real-Time for Visually Mediated Interaction)

Integrated Machine Vision Initiative

PAMONOP (Parallel Modelling of Neural Operators for Pattern Recognition)


BOOKS

 

 

 

S. Gong, M. Cristani, S. Yan, C.C. Loy (Eds.). Person Re-Identification, Springer, January 2014.

C. Shan, F. Porikli, T. Xiang, S. Gong (Eds.). Video Analytics for Business Intelligence, Springer, March 2012.

S. Gong, T. Xiang. Visual Analysis of Behaviour: From Pixels to Semantics, Springer, May 2011.

S. Gong, S. McKenna, A. Psarrou. Dynamic Vision: From Images to Face Recognition, Imperial College Press, June 2000.

S. Zhou, W. Zhao, X. Tang, S. Gong (Eds.). Analysis and Modelling of Faces and Gestures, Springer, October 2007.

W. Zhao, S. Gong, X. Tang (Eds.). Analysis and Modelling of Faces and Gestures, Springer, October 2005.

S. Gong, H. Zhang, S. Li, A. Senior, T. Vetter, W. Zhao (Eds.). Analysis and Modelling of Faces and Gestures, IEEE Computer Society, October 2003.

 


DATASETS

Activity Analysis Datasets:


Human Recognition Datasets:


Video Summerisation Datasets:

 


RECENT PUBLICATIONS (a full listing with pdf download)

X. Zhu, C.C. Loy and S. Gong. Constructing Robust Affinity Graph for Spectral Clustering. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, June 2014.

C. Liu, S. Gong and C.C. Loy. On-the-fly Feature Importance Mining for Person Re-Identification. Pattern Recognition, Vol. 47, No. 4, pp. 1602-1615, April 2014.

Y. Fu, T. Hospedales, T. Xiang and S. Gong. Learning Multi-Modal Latent Attributes. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, No. 2, pp. 303-316, February 2014. 

S. Gong, M. Cristani, S. Yan, C.C. Loy (Eds.). Person Re-Identification, 456 pages, Springer, January 2014.

C. Liu, C.C. Loy, S. Gong and G. Wang. POP: Person Re-Identification Post-Rank Optimisation. In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013. 

X. Zhu, C.C. Loy and S. Gong. Video Synopsis by Heterogeneous Multi-Source Correlation. In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013.

C.C. Loy, S. Gong and T. Xiang. From Semi-Supervised to Transfer Counting of Crowds. In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013.

J. Hu, W-S. Zheng, J. Lai, S. Gong and T. Xiang. Understanding Human-Object Interaction via Exemplar based Modelling. In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013.

X. Zhu, C.C. Loy and S. Gong. Constrained Clustering: Effective Constraints Propagation with Imperfect Oracle. In Proc. IEEE International Conference on Data Mining, Dallas, Texas, USA, December 2013.

C.C. Loy, K. Chen, S. Gong and T. Xiang. Crowd Counting and Profiling: Methodology and Evaluation. In Ali, Nishino, Manocha and Shah (Eds.), Modeling, Simulation and Visual Analysis of Crowds, Springer, November 2013.

X. Xu, S. Gong and T. Hospedales. Cross-Domain Traffic Scene Understanding by Motion Model Transfer. In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Barcelona, Spain, October 2013.

R. Layne, T. Hospedales and S. Gong. Domain Transfer for Person Re-identification. In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Barcelona, Spain, October 2013.

C.C. Loy, C. Liu and S. Gong. Person Re-Identification by Manifold Ranking. In Proc. IEEE International Conference on Image Processing, Melbourne, Australia, September 2013. 

Y. Li, Y. Song and S. Gong. Sketch Recognition by Ensemble Matching of Structured Features. In Proc. British Machine Vision Conference, Bristol, UK, September 2013.

K. Chen, S. Gong, T. Xiang and C.C. Loy. Cumulative Attribute Space for Age and Crowd Density Estimation. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, June 2013.

W. Zheng, S. Gong and T. Xiang. Re-identification by Relative Distance Comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 3, pp. 653-668, March 2013.

T. Hospedales, S. Gong and T. Xiang. Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 2, pp. 374-386, February 2013.


s.gong AT qmul.ac.uk