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 Recognition, and Video Analysis. His brief bio, publications with pdf download, and guide to PhD study.




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

2021 IEEE Transactions on Circuits and Systems for Video Technology Special Issue on "Large-Scale Visual Sensor Networks: Architectures and Applications", Vol. 31, No. 4; Paolo Spagnolo, Hamid Aghajan, George Bebis, Shaogang Gong, Amy Loutfi, Leonid Sigal, Wei-Shi Zheng. Editorial: Introduction to Large-Scale Visual Sensor Networks: Architectures and Applications, Vol. 31, No. 4, pp. 1249-1252, April 2021.

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

2019 IEEE International Conference on Computer Vision (ICCV), Second International Workshop and Challenge on Real-World Face and Object Recognition from Low-Quality Images and Videos (FOR-LQ), Seoul, Korea, October 2019.

2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Second International Workshop on Target Re-identification and Multi-Target Multi-Camera Tracking, Long Beach, CA, USA, June 2019.

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)

Shitong Sun, Guile Wu, Shaogang Gong. "Decentralised Person Re-Identification with Selective Knowledge Aggregation". In Proc. British Machine Vision Conference, November 2021.

Qilei Li, Jiabo Huang, Shaogang Gong. "Local-Global Associative Frame Assemble in Video Re-ID". In Proc. British Machine Vision Conference, November 2021.

Guile Wu, Shaogang Gong. "Collaborative Optimisation and Aggregation for Decentralised Domain Generalisation and Adaptation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin. "Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Guile Wu, Shaogang Gong, Pan Li. "Striking a Balance between Stability and Plasticity for Class-Incremental Learning". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy Hospedales. "A Simple Feature Augmentation for Domain Generalisation". In Proc. IEEE International Conference on Computer Vision, Montreal, Canada, October 2021.

Guile Wu, Xiatian Zhu, Shaogang Gong. "Learning Hybrid Ranking Representation for Person Re-Identification". Pattern Recognition, Vol. 121, 108239, January 2022.

Wei-Shi Zheng, Jincheng Hong, Jiening Jiao, Ancong Wu, Xiatian Zhu, Shaogang Gong, Jianhuang Lai. "Joint Bilateral-Resolution Identity Modelling for Low-Resolution Person Re-Identification". International Journal of Computer Vision, accepted, July 2021.

Qingze Yin, Guan'an Wang, Guodong Ding, Shaogang Gong, Zhenmin Tang. "Multi-View Label Prediction for Unsupervised Learning Person Re-Identification". IEEE Signal Processing Letters, Vol. 28, pp. 1390-1394, June 2021.

Pan Li, Yanwei Fu, Shaogang Gong. "Regularising Knowledge Transfer by Meta Functional Learning". In Proc. International Joint Conference on Artificial Intelligence, Montreal, Canada, August 2021.

Pan Li, Guile Wu, Shaogang Gong, Xu Lan. "Semi-Supervised Few-Shot Learning with Pseudo Label Refinement". In Proc. IEEE International Conference on Multimedia and Expo, Shenzhen, China, July 2021.

Wei Li, Shaogang Gong, Xiatian Zhu. "Hierarchical Distillation Learning for Scalable Person Search". Pattern Recognition, Vol. 114, 107862, February 2021.

Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong. "Intra-Camera Supervised Person Re-Identification". International Journal of Computer Vision, Vol. 129, pp. 1580-1595, February 2021.

Hang Su, Shaogang Gong, Xiatian Zhu. "Multi-Perspective Cross-Class Domain Adaptation for Open Logo Detection". Computer Vision and Image Understanding, Vol. 204, 103156, March 2021.

Guile Wu and Shaogang Gong. "Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification". In Proc. AAAI Conference on Artificial Intelligence, February 2021.

Guile Wu and Shaogang Gong. "Generalising without Forgetting for Lifelong Person Re-Identification". In Proc. AAAI  Conference on Artificial Intelligence, February 2021.

Guile Wu and Shaogang Gong. "Peer Collaborative Learning for Online Knowledge Distillation". In Proc. AAAI Conference on Artificial Intelligence, February 2021.

Zhiyi Cheng, Xiatian Zhu, Shaogang Gong. "Face Re-Identification Challenge: Are Face Recognition Models Good Enough?". Pattern Recognition, Vol. 107, 107422, November 2020.

Guan'an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou. "Faster Person Re-Identification". In Proc. European Conference on Computer Vision, Glasgow, Scotland, August 2020.

Minxian Li, Xiatian Zhu, Shaogang Gong. "Unsupervised Tracklet Person Re-Identification". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 7, pp. 1770-1782, July 2020.

Wei Li, Xiatian Zhu, Shaogang Gong. "Scalable Person Re-Identification by Harmonious Attention". International Journal of Computer Vision, Vol. 128, No. 6, pp. 1635-1653, June 2020.

Ancong Wu, Wei-Shi Zheng, Shaogang Gong, Jianhuang Lai. "RGB-IR Person Re-identification by Cross-Modality Similarity Preservation". International Journal of Computer Vision, Vol. 128, No. 6, pp. 1765-1785, June 2020.

Jiabo Huang, Shaogang Gong, Xiatian Zhu. "Deep Semantic Clustering by Partition Confidence Maximisation". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020.

Yanbei Chen, Shaogang Gong, Loris Bazzani. "Image Search with Text Feedback by Visionlinguistic Attention Learning". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (featured in Amazon Science Blog and deeplearning.ai)

Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu. "Inter-Task Association Critic for Cross-Resolution Person Re-Identification". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020.


DATASETS


Person Re-ID, Vehicle Re-ID, and Face Recognition Datasets:

Logo Recognition Datasets:


Activity Analysis Datasets:


Video Summerisation Datasets:

 


PROJECTS

Deep Learning for Large-Scale Video Semantic Search

Developing and Commercialising Intelligent Video Analytics Solutions for Public Safety (Deep Learning for Smart City)

Deep Learning for Cross-Domain Object Recognition

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