Professor Shaogang Gong FREng, FIEE, DPhil (Oxon)

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

 

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, DBLP, Research.com), 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)

Guan'an Wang, Xiaowen Huang, Shaogang Gong, Jian Zhang, Wen Gao. "Faster Person Re-Identification: One-shot-Filter and Coarse-to-Fine Search". IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, December 2023.

Qilei Li, Jiabo Huang, Jian Hu, Shaogang Gong. "Feature-Distribution Perturbation and Calibration for Generalised RE-ID". In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, April 2024.

Jian Hu, Jiayi Lin, Weitong Cai, Shaogang Gong. "Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects". In Proc. AAAI Conference on Artificial Intelligence, Vancouver, February 2024 (more details @ https://lwpyh.github.io/GenSAM/)

Qilei Li, Shaogang Gong. "Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalising Person ReID". In Proc. IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, January 2024.

Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu. "Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models". In Proc. IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, January 2024.

Minghang Zheng, Shaogang Gong, Hailin Jin, Yuxin Peng, Yang Liu. "Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization". In Proc. Annual Meeting of the Association for Computational Linguistics, Toronto, July 2023.

Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu. "Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, June 2023.

Ke Han, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan. "Clothing-Change Feature Augmentation for Person Re-Identification". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Vancouver, June 2023.

Wei Li, Shaogang Gong, Xiatian Zhu. "Neural Operator Search". Pattern Recognition, Vol. 136, 109215, April 2023.

Ke Han, Yan Huang, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan. "3D Shape Temporal Aggregation for Video-based Clothing-Change Person Re-Identification". In Proc. Asian Conference on Computer Vision, Macau, December 2022.

Jiabo Huang, Shaogang Gong. "Deep Clustering by Semantic Contrastive Learning". In Proc. British Machine Vision Conference, London, November 2022.

Weitong Cai, Jiabo Huang, Shaogang Gong. "Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels". In Proc. British Machine Vision Conference, London, November 2022.

Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu. "Video Activity Localisation with Uncertainties in Temporal Boundary". In Proc. European Conference on Computer Vision, Tel Aviv, Israel, October 2022.

Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan. "Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modelling". In Proc. European Conference on Computer Vision, Tel Aviv, Israel, October 2022.

Qingze Yin, Guan'an Wang, Guodong Ding, Qilei Li, Shaogang Gong, Zhenmin Tang. "Rapid Person Re-Identification via Sub-space Consistency Regularisation". Neural Processing Letters, August 2022.

Pan Li, Shaogang Gong, Chengjie Wang, Yanwei Fu. "Ranking Distance Calibration for Cross-Domain Few-Shot Learning". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, Louisiana, USA, June 2022.

Xu Lan, Xiatian Zhu, Shaogang Gong. "Unsupervised Cross-Domain Person Re-Identification by Instance and Distribution Alignment". Pattern Recognition, Vol. 124, 108514, April 2022.

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, Vol. 130, No. 1, pp. 136-156, January 2022.


DATASETS


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

Logo Recognition Datasets:


Activity Analysis Datasets:


Video Summerisation Datasets:

 


PROJECTS

Fine-Grained Deep Learning in Digital Health

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