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: sgg@eecs.qmul.ac.uk

 

I am Professor of Visual Computation at the School of Electronic Engineering and Computer Science, Queen Mary University of London. I established the Queen Mary Vision Laboratory in 1993 and have enjoyed immensely working with research students and postdoctoral researchers. I am interested in Human Identity and Behaviour Recognition, Visually Mediated Interaction, Communication and Surveillance. Brief bio and publications download (also at Google Scholar, Microsoft Academic, DBLP).

WORKSHOPS

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

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, T. Xiang. Visual Analysis of Behaviour: From Pixels to Semantics, 376 pages, Springer, May 2011.

S. Gong, S. McKenna, A. Psarrou. Dynamic Vision: From Images to Face Recognition, 364 pages, Imperial College Press, June 2000.
DATASETS

Activity Analysis Datasets:
Human Recognition Datasets:

EDITED BOOKS

C. Shan, F. Porikli, T. Xiang, S. Gong (Eds.). Video Analytics for Business Intelligence, Studies in Computational Intelligence, Vol. 409, 368 pages, Springer, March 2012.

S. Zhou, W. Zhao, X. Tang, S. Gong (Eds.). Analysis and Modelling of Faces and Gestures, Lecture Notes in Computer Science, Vol. 4778, 305 pages, Springer, 2007.


W. Zhao, S. Gong, X. Tang (Eds.). Analysis and Modelling of Faces and Gestures, Lecture Notes in Computer Science, Vol. 3723, 424 pages, Springer, 2005.

S. Gong, H. Zhang, S. Li, A. Senior, T. Vetter, W. Zhao (Eds.). Analysis and Modelling of Faces and Gestures, 239 pages, IEEE Computer Society, 2003.

RECENT PUBLICATIONS (a full listing with pdf download)

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. 

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.

T. Hospedales, S. Gong and T. Xiang. A Unifying Theory of Active Discovery and Learning. In Proc. European Conference on Computer Vision, Firenze, Italy, October 2012.

Y. Fu, T. Hospedales, T. Xiang and S. Gong. Attribute Learning for Understanding Unstructured Social Activity. In Proc. European Conference on Computer Vision, Firenze, Italy, October, 2012.

C. Liu, S. Gong, C.C. Loy and X. Lin. Person Re-Identification: What Features Are Important? In Proc. First International Workshop on Re-Identification, Firenze, Italy, October 2012.

R. Layne, T. Hospedales and S. Gong. Towards Person Identification and Re-Identification with Attributes. In Proc. First International Workshop on Re-Identification, Firenze, Italy, October 2012.

C.C. Loy, T. Xiang and S. Gong. Incremental Activity Modelling in Multiple Disjoint Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 9, pp. 1799-1813, September 2012.

X. Zhu, S. Gong and C.C. Loy. Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies. In Proc. British Machine Vision Conference, Guildford, UK, September 2012.

R. Layne, T. Hospedales and S. Gong. Person Re-identification by Attributes. In Proc. British Machine Vision Conference, Guildford, UK, September 2012.

K. Chen, C.C. Loy, S. Gong and T. Xiang. Feature Mining for Localised Crowd Counting. In Proc. British Machine Vision Conference, Guildford, UK, September 2012.

T. Hospedales, S. Gong and T. Xiang. Video Behaviour Mining Using a Dynamic Topic Model. International Journal of Computer Vision, Vol. 98, No. 3, pp. 303-323, July 2012.

W. Zheng, S. Gong and T. Xiang. Transfer Re-identification: From Person to Set-based Verification. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 2012.

C.C. Loy, T. Hospedales, T. Xiang and S. Gong. Stream-based Joint Exploration-Exploitation Active Learning. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, June 2012.

J. Li, S. Gong and T. Xiang. Learning Behavioural Context. International Journal of Computer Vision, Vol. 97, No. 3, pp. 276-304, May 2012.

C.C. Loy, T. Xiang and S. Gong. Salient Motion Detection in Crowded Scenes. In Proc. 5th International Symposium on Communications, Control and Signal Processing, Rome, Italy, May 2012.

W. Zheng, S. Gong and T. Xiang. Quantifying and Transferring Contextual Information in Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 4, pp. 762-777, April 2012.

M. Bregonzio, T. Xiang and S. Gong. Fusing Appearance and Distribution Information of Interest Points for Action Recognition. Pattern Recognition, Vol. 45, No. 3, pp. 1220-1234, March 2012.

sgg@eecs.qmul.ac.uk