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 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

 





 

 




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", Vol. 156; V. Murino, S. Gong, C.C. Loy and L. Bazanni. 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; S. Gong and H. 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)

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, accepted, 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.

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.

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.

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.

X. Lan, H. Wang, S. Gong and X. Zhu. "Deep Reinforcement Learning Attention Selection For Person Re-Identification". In Proc. British Machine Vision Conference, London, September 2017.

J. Wang, X. Zhu and S. Gong. "Discovering Visual Concept Structure with Sparse and Incomplete Tags". Artificial Intelligence, Vol. 250, pp. 16-36, September 2017.

A. Kanaci, X. Zhu and S. Gong. "Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning". In Proc. 5th Activity Monitoring by Multiple Distributed Sensing Workshop, British Machine Vision Conference, London, September 2017.

A. Schumann, S. Gong and T. Schuchert. "Deep Learning Prototype Domains for Person Re-Identification". In Proc. IEEE International Conference on Image Processing, Beijing, China, September 2017. 

W. Li, X. Zhu and S. Gong. "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification". In Proc. International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 2017.

X. Xu, T. Hospedales and S. Gong. "Transductive Zero-Shot Action Recognition by Word-Vector Embedding". International Journal of Computer Vision, Vol. 123, No. 3, pp. 309-333, July 2017.

L. Zhang, T. Xiang and S. Gong. "Learning a Deep Embedding Model for Zero-Shot Learning". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, USA, July 2017.

E. Kodirov, T. Xiang and S. Gong. "Semantic Autoencoder for Zero-Shot Learning". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, USA, July 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