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 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

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)

Wei Li, Xiatian Zhu, Shaogang Gong. "Scalable Person Re-Identification by Harmonious Attention". International Journal of Computer Vision, accepted, December 2019.

Wei Li, Shaogang Gong, Xiatian Zhu. "Neural Graph Embedding for Neural Architecture Search". In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.

Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu. "Unsupervised Deep Learning via Affinity Diffusion". In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.

Guile Wu, Xiatian Zhu, Shaogang Gong. "Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification". In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.

Yanbei Chen, Xiatian Zhu, Wei Li, Shaogang Gong. "Semi-Supervised Learning under Class Distribution Mismatch". In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020.

Hang Su, Shaogang Gong, Xiatian Zhu. "Scalable Logo Detection by Self Co-Learning". Pattern Recognition, Vol. 97, pp. 107003, January 2020.

Qi Dong, Shaogang Gong, Xiatian Zhu. "Person Search by Text Attribute Query as Zero-Shot Learning". In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.

Zimo Liu, Jingya Wang, Shaogang Gong, Huchuan Lu, Dacheng Tao. "Deep Reinforcement Active Learning for Human-In-The-Loop Person Re-Identification". In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.

Yanbei Chen, Xiatian Zhu, Shaogang Gong. "Instance-Guided Context Rendering for Cross-Domain Person Re-Identification". In Proc. IEEE International Conference on Computer Vision, Seoul, South Korea, October 2019.

Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong. "Intra-Camera Supervised Person Re-Identification: A New Benchmark". In Proc. IEEE International Conference on Computer Vision, Second Workshop and Challenge on Real-World Face and Object Recognition from Low-Quality Images and Videos (FOR-LQ), Seoul, South Korea, October 2019.

Hangyu Lin, Peng Lu, Yanwei Fu, Shaogang Gong, Xiangyang Xue and Yu-Gang Jiang. "TC-Net for iSBIR: Triplet Classification Network for instance-level Sketch Based Image Retrieval". In Proc. ACM Multimedia, Nice, France, October 2019.

Guile Wu, Xiatian Zhu, Shaogang Gong. "Spatio-Temporal Associative Representation for Video Person Re-Identification". In Proc. British Machine Vision Conference, Cardiff, UK, September 2019.

Minxian Li, Xiatian Zhu, Shaogang Gong. "Unsupervised Tracklet Person Re-Identification". IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, February 2019.

Guile Wu, Xiatian Zhu, Shaogang Gong. "Person Re-Identification by Ranking Ensemble Representations". In Proc. IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019.

Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu. "Unsupervised Deep Learning by Neighbourhood Discovery". In Proc. International Conference on Machine Learning, Long Beach, California, USA, June 2019.

H-X. Yu, W-S. Zheng, A. Wu, X. Guo, S. Gong, J-H. Lai. "Unsupervised Person Re-Identification by Soft Multilabel Learning". In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, California, USA, June 2019.

Georgia Rajamanoharan, Aytac Kanaci, Minxian Li, Shaogang Gong. "Multi-Task Mutual Learning for Vehicle Re-Identification". In Proc. IEEE Conference on Computer Vision and Pattern Recognition AI City Challenge Workshop, Long Beach, California, USA, June 2019.

Qi Dong, Shaogang Gong, Xiatian Zhu. "Imbalanced Deep Learning by Minority Class Incremental Rectification". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 6, pp. 1367-1381, June 2019.

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

H. Wang, X. Zhu, S. Gong, T. Xiang. "Person Re-Identification in Identity Regression Space". International Journal of Computer Vision, Vol. 126, No. 12, pp. 1288-1310, December 2018.

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.


DATASETS


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

Logo Recognition Datasets:


Activity Analysis 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