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 and a Turing Fellow of the Alan Turing Institute of Data Science and Artificial Intelligence. He established the Queen Mary Computer Vision Laboratory in 1993 and has enjoyed immensely working with PhD students and postdoctoral researchers. His research is in Computer Vision and Machine Learning (Google Scholar and DBLP), with a focus on Object Recognition, Action and Behaviour Recognition, and Video Analysis. His brief bio and publications with pdf download.




BOOKS

 





 

 




Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy (Eds.). Person Re-Identification, Springer, January 2014.


Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong (Eds.). Video Analytics for Business Intelligence, Springer, March 2012.


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


Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou. Dynamic Vision: From Images to Face Recognition, Imperial College Press, June 2000.





















S. Kevin Zhou, Wenyi Zhao, Xiaoou Tang, Shaogang Gong (Eds.). Analysis and Modelling of Faces and Gestures, Springer, October 2007.


Wenyi Zhao, Shaogang Gong, Xiaoou Tang (Eds.). Analysis and Modelling of Faces and Gestures, Springer, October 2005.


Shaogang Gong, Hong-Jiang Zhang, Stan Li, Andrew Senior, Thomas Vetter, Wenyi Zhao (Eds.). Analysis and Modelling of Faces and Gestures, IEEE Computer Society, October 2003.



 


SPECIAL ISSUES

2017 Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data", Vol. 156; Vittorio Murino, Shaogang Gong, Chen Change Loy, Loris Bazzani. Editorial: Image and Video Understanding in Big Data, Vol. 156, pp. 1-3, March 2017.

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



WORKSHOPS

2017 IEEE International Conference on Computer Vision (ICCV), First International Workshop on Cross-Domain Human Identification (CHI), Venice, Italy, October 2017.

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), First International Workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking, Honolulu, USA, July 2017.

2014 European Conference on Computer Vision (ECCV)International Workshop on Surveillance and Re-Identification, Zurich, Switzerland, September 2014.

2012 European Conference on Computer Vision (ECCV), First International Workshop on Person Re-Identification, Florence, Italy, October 2012.


RECENT PUBLICATIONS (full listing with pdf download)

Q. Dong, X. Zhu, S. Gong. "Single-Label Multi-Class Image Classification by Deep Logistic Regression". In Proc. AAAI  Conference on Artificial Intelligence, Honolulu, Hawaii, USA, January 2019.

Z. Cheng, X. Zhu, S. Gong. "Low-Resolution Face Recognition". In Proc.  Asian Conference on Computer Vision, Perth, Australia, December 2018.

X. Lan, X. Zhu, S. Gong. "Self-Referenced Deep Learning". In Proc. Asian Conference on Computer Vision, Perth, Australia, December 2018.

X. Lan, X. Zhu, S. Gong. "Knowledge Distillation by On-the-Fly Native Ensemble". In Proc. Conference on Neural Information Processing Systems, Montreal, Canada, December 2018.

A. Kanaci, X. Zhu, S. Gong. "Vehicle Re-Identification in Context". In Proc. German Conference on Pattern Recognition, Stuttgart, Germany, October 2018.

M. Li, X. Zhu, S. Gong. "Unsupervised Person Re-Identification by Deep Learning Tracklet Association". In Proc. European Conference on Computer Vision, Munich, Germany, September 2018.

Y. Chen, X. Zhu, S. Gong. "Semi-Supervised Deep Learning with Memory". In Proc. European Conference on Computer Vision, Munich, Germany, September 2018.

X. Lan, X. Zhu, S. Gong. "Person Search by Multi-Scale Matching". In Proc. European Conference on Computer Vision, Munich, Germany, September 2018.

H. Su, X. Zhu, S. Gong. "Open Logo Detection Challenge", In Proc. British Machine Vision Conference, Newcastle, UK, September 2018.

Y. Chen, X. Zhu, S. Gong. "Deep Association Learning for Unsupervised Video Person Re-Identification", In Proc. British Machine Vision Conference, Newcastle, UK, September 2018.

H. Wang, X. Zhu, S. Gong, T. Xiang. "Person Re-Identification in Identity Regression Space". International Journal of Computer Vision, in print, 2018.

Q. Dong, S. Gong, X. Zhu. "Imbalanced Deep Learning by Minority Class Incremental Rectification". IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2018.

Z. Fu, T. Xiang, E. Kodirov and S. Gong. "Zero-Shot Learning on Semantic Class Prototype Graph". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 8, pp. 2009-2022, August 2018.

W. Li, X. Zhu, S. Gong. "Harmonious Attention Network for Person Re-Identification". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, USA, June 2018.

J. Wang, X. Zhu, S. Gong, W. Li. "Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, USA, June 2018.

J. Jiao, W-S. Zheng, A. Wu, X. Zhu, S. Gong. "Deep Low-Resolution Person Re-Identification". In Proc. AAAI  Conference on Artificial Intelligence, New Orleans, Lousiana, USA, February 2018.

Y. Fu, T. Xiang, Y-G Jiang, X. Xue, L. Sigal, S. Gong. "Recent Advances in Zero-Shot Recognition: Towards Data-Efficient Understanding of Visual Content". IEEE Signal Processing Magazine, Vol. 35, No. 1, pp. 112-125, January 2018.

Q. Dong, S. Gong and X. Zhu. "Class Rectification Hard Mining for Imbalanced Deep Learning". In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017.

J. Wang, X. Zhu, S. Gong and W. Li. "Attribute Recognition by Joint Recurrent Learning of Context and Correlation". In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017.

A. Wu, W-S. Zheng, H-X. Yu, S. Gong and J. Lai. "RGB-Infrared Cross-Modality Person Re-Identification". In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017. 

Y. Chen, X. Zhu and S. Gong. "Person Re-Identification by Deep Learning Multi-Scale Representations". In Proc. IEEE International Conference on Computer Vision, Workshop on Cross-Domain Human Identification, Venice, Italy, October 2017.

H. Su, S. Gong and X. Zhu. "WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web". In Proc. IEEE International Conference on Computer Vision, Workshop on Web-Scale Vision and Social Media, Venice, Italy, October 2017.


DATASETS

Logo Recognition Datasets:


Activity Analysis Datasets:

Person Re-ID and Face Recognition Datasets:


Video Summerisation Datasets:

 


PROJECTS

Alan Turing Institute Fellowship Project on Deep Learning for Large-Scale Video Semantic Search

InnovateUK Industrial Challenge Project on Developing and Commercialising Intelligent Video Analytics Solutions for Public Safety (Deep Learning for Smart City)

DSTL Fast Targeting (Deep Learning for Cross-Domain Object Recognition)

DeepInsight (Deep Learning for Large Scale Video Analysis)

Royal Society Newton Advanced Fellowship on Person Re-Identification In-The-Wild

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