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. He established the Queen Mary Computer Vision Laboratory in 1993 and has enjoyed immensely working with PhD students and postdoctoral researchers. His research interests include Computer Vision and Machine Learning (Google Scholar and DBLP), with a focus on Object Detection and Identification, Activity and Behaviour Recognition, Video Analysis and Understanding. His brief bio and pdf download of publications.



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

 


SPECIAL ISSUES

2016 Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data" (new).

2002 Image and Vision Computing Special Issue on "Understanding Visual Behaviour", Vol. 20, No. 12; S. Gong and H. Buxton. Editorial: Understanding Visual Behaviour, Vol.20, No.12, pp. 825-826, October 2002.



RECENT PUBLICATIONS (full listing with pdf download)

W-S. Zheng, S. Gong and T. Xiang. "Towards Open-World Person Re-Identification by One-Shot Group-based Verification". IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2015.

X. Xu, T. Hospedales and S. Gong. "Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarisation". IEEE Transactions on Circuits and Systems for Video Technology, in print, 2015.

Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang and Y. Yao. "Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels". IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2015.

Y. Fu, T. Hospedales, T. Xiang and S. Gong. "Transductive Multi-View Zero-Shot Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2015.

X. Zhu, C.C. Loy and S. Gong. "Constrained Clustering with Imperfect Oracles". IEEE Transactions on Neural Networks and Learning Systems, special issue on Learning in Non-(geo)metric Spaces, in print, 2015.

J-F. Hu, W-S. Zheng, J. Lai, S. Gong and T. Xiang. "Exemplar-based Recognition of Human-Object Interactions". IEEE Transactions on Circuits and Systems for Video Technology, in print, 2015.

Y. Li, T. Hospedales, Y-Z. Song and S. Gong. "Free-hand Sketch Recognition by Multi-Kernel Feature Learning". Computer Vision and Image Understanding, Vol. 137, pp. 1-11, August 2015.

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.

W-S. 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.


DATASETS

Activity Analysis Datasets:


Human Recognition Datasets:


Video Summerisation Datasets:

 


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)

 

s.gong AT qmul.ac.uk