Professor Shaogang Gong
E1 4NS, United Kingdom
Tel: +44 (0)20-7882 5249
Fax: +44 (0)20-7882 7064
s.gong AT qmul.ac.uk
Shaogang (Sean) Gong is Professor of Visual Computation at Queen Mary
of University London. Gong established the Queen Mary Computer Vision Laboratory in 1993 and have enjoyed immensely working with PhD students and postdoctoral researchers. His work is in Computer Vision, with a focus on Human Idenfitication, Behaviour Recognition, Video Content Analysis, and Visual Surveillance. Brief bio and publications pdf download (Google Scholar).
International Workshop on Visual Surveillance and Re-Identification (VS-Re-ID 2014) and the MCT Challenge, in conjunction with ECCV'2014, 12 September 2014, Zurich, Switzerland.
IEEE Workshop on Analysis and Modelling of Faces and Gestures, in conjunction with CVPR'2013, 28 June 2013, Portland, Oregon, USA.
First International Workshop on Re-Identification (Re-Id 2012), in conjunction with ECCV'2012, 12 October 2012, Florence, Italy.
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)
VISTA(Video Analytics for Real-Time Human Profiling)
SERVE (Surveillance, Evaluation, Research, Validation, and Exploitation) Network
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. Zhang, S. Li, A. Senior, T. Vetter, W. Zhao (Eds.). Analysis and Modelling of Faces and Gestures, IEEE Computer Society, October 2003.
Activity Analysis Datasets:
- QMUL Junction Dataset
- Shopping Mail Dataset
- Road Traffic Datasets
- Sports News Dataset Raw Data (1GB), Extracted Features and Annotations (3MB) - (Ref: "Learning Tags from Unsegmented Videos of Multiple Human Actions", IEEE International Conference on Data Mining, Vancouver, Canada, December 2011)
Human Recognition Datasets:
- iLIDS Video re-IDentification (iLIDS-VID) Dataset
- Underground Re-Identification (GRID) Dataset
- QMUL i-LIDS Re-Identification Dataset - (Ref: "Associating Groups of People", British Machine Vision Conference,
, September 2009) London
- QMUL i-LIDS Pedestrian Detection Dataset - (Ref: "Quantifying Contextual Information for Object Detection", IEEE International Conference on Computer Vision,
, Japan, October 2009) Kyoto
- QMUL Re-Identification Attribute Labelling (for VIPeR, GRID and PRID datasets)
- QMUL Multiview Face Dataset
Video Summerisation Datasets:
RECENT PUBLICATIONS (a full listing with pdf download)
T. Wang, S. Gong, X. Zhu and S. Wang. Person Re-Identification by Video Ranking. In Proc. European Conference on Computer Vision, Zurich, Switzerland, September 2014.
Y. Fu, T. Hospedales, T. Xiang, S. Gong and Y. Yao. Interestingness Prediction by Robust Learning to Rank. In Proc. European Conference on Computer Vision, Zurich, Switzerland, September 2014.
Y. Fu, T. Hospedales, T. Xiang, Z. Fu and S. Gong. Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. In Proc. European Conference on Computer Vision, Zurich, Switzerland, September 2014.
H. Wang, S. Gong and T. Xiang. Unsupervised Learning of Generative Topic Saliency for Person Re-Identification. In Proc. British Machine Vision Conference, Nottingham, UK, September 2014.
R. Layne, T. Hospedales and S. Gong. Re-Identification: Hunting Attributes in the Wild. In Proc. British Machine Vision Conference, Nottingham, UK, September 2014.
B. Cancela, T. Hospedales and S. Gong. Open-World Person Re-Identification by Multi-Label Assignment Inference. In Proc. British Machine Vision Conference, Nottingham, UK, September 2014.
Y. Li, T. Hospedales, Y-Z. Song and S. Gong. Towards Intra-Category Sketch-based Image Retrieval via Matching Deformable Part Models. In Proc. British Machine Vision Conference, Nottingham, UK, September 2014.
Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong. Transductive Multi-Label Zero-Shot Learning. In Proc. British Machine Vision Conference, Nottingham, UK, September 2014.
X. Zhu, C.C. Loy and S. Gong. Constructing Robust Affinity Graph for Spectral Clustering. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, June 2014.
C. Liu, S. Gong and C.C. Loy. On-the-fly Feature Importance Mining for Person Re-Identification. Pattern Recognition, Vol. 47, No. 4, pp. 1602-1615, April 2014.
Y. Fu, T. Hospedales, T. Xiang and S. Gong. Learning Multi-Modal Latent Attributes. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, No. 2, pp. 303-316, February 2014.
S. Gong, M. Cristani, S. Yan, C.C. Loy (Eds.). Person Re-Identification, 456 pages, Springer, January 2014.
s.gong AT qmul.ac.uk