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. (new)

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. (new)

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.  (new)


RECENT PUBLICATIONS (full listing with pdf download)

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, accepted, 2017.

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.

X. Xu, T. Hospedales and S. Gong. "Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarisation". IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27, No. 6, pp. 1353-1367, June 2017.

X. Ma, X. Zhu, S. Gong, X. Xie, J. Hu, K-M. Lam and Y. Zhong. "Person Re-Identification by Unsupervised Video Matching". Pattern Recognition, Vol. 65, pp. 197-210, May 2017.

Q. Dong, S. Gong and X. Zhu. "Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes". In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, CA, USA, March 2017.

H. Su, X. Zhu and S. Gong. "Deep Learning Logo Detection with Data Expansion by Synthesising Context". In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, CA, USA, March 2017.

Y. Li, Y-Z. Song, T. Hospedales and S. Gong. "Free-hand Sketch Synthesis with Deformable Stroke Models". International Journal of Computer Vision, Vol. 122, No. 1, pp. 169-190, March 2017.

T. Wang, S. Gong, X. Zhu and S. Wang. "Person Re-Identification by Discriminative Selection in Video Ranking". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 12, pp. 2501-2514, December 2016.

H. Wang, S. Gong, X. Zhu and T. Xiang. "Human-In-The-Loop Person Re-Identification". In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016.

X. Xu, T. Hospedales and S. Gong. "Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation". In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016.

E. Kodirov, T. Xiang, Z. Fu and S. Gong. "Person Re-Identification by Unsupervised L1 Graph Learning". In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016.

H. Wang, S. Gong and T. Xiang. "Highly Efficient Regression for Scalable Person Re-Identification". In Proc. British Machine Vision Conference, York, UK, September 2016.

E. Kodirov, T. Xiang, Z. Fu and S. Gong. "Learning Robust Graph Regularisation for Subspace Clustering". In Proc. British Machine Vision Conference, York, UK, September 2016.

H. Wang, X. Zhu, T. Xiang and S. Gong. "Towards Unsupervised Open-Set Person Re-Identification". In Proc. IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 2016.

I. Alexiou, T. Xiang and S. Gong. "Exploring Synonyms as Context in Zero-Shot Action Recognition". In Proc. IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 2016.


DATASETS

Activity Analysis Datasets:


Human Recognition Datasets:


Video Summerisation Datasets:

 


PROJECTS

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