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. He established the Queen Mary Computer Vision Laboratory in 1993 and has enjoyed immensely working with PhD students and postdoctoral researchers. His research interests include Computer Vision and Machine Learning (Google Scholar and DBLP), with a focus on Object Detection and Identification, Activity and Behaviour Recognition, Video Analysis and Understanding. His brief bio and pdf download of publications.
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.
2016 Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data" (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.RECENT PUBLICATIONS (full listing with pdf download)
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, in print, 2016.
X. Zhu, C.C. Loy and S. Gong. "Learning from Multiple Sources for Video Summarisation". International Journal of Computer Vision, Vol. 117, No. 3, pp. 247-268, May 2016.
J-F. Hu, W-S. Zheng, J. Lai, S. Gong and T. Xiang. "Exemplar-based Recognition of Human-Object Interactions". IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 4, pp. 647-660, April 2016.
W-S. Zheng, S. Gong and T. Xiang. "Towards Open-World Person Re-Identification by One-Shot Group-based Verification". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 3, pp. 591-606, March 2016.
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, in print, 2015.
Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang and Y. Yao. "Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 3, pp. 563-577, March 2016.Y. Fu, T. Hospedales, T. Xiang and S. Gong. "Transductive Multi-View Zero-Shot Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 37, No. 11, pp. 2332-2345, November 2015.
X. Zhu, C.C. Loy and S. Gong. "Constrained Clustering with Imperfect Oracles". IEEE Transactions on Neural Networks and Learning Systems, special issue on Learning in Non-(geo)metric Spaces, in print, 2015.
Y. Li, T. Hospedales, Y-Z. Song and S. Gong. "Free-hand Sketch Recognition by Multi-Kernel Feature Learning". Computer Vision and Image Understanding, Vol. 137, pp. 1-11, August 2015.
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.
Activity Analysis Datasets:
- QMUL Junction Dataset, also available here prepared by David Russell and Jian Li with early references
- Shopping Mail Dataset
- QMUL Roundabout Dataset and QMUL Junction 2 Dataset
- Sports News Dataset Raw Data (1GB), Extracted Features and Annotations (3MB) - Refs: "Learning Tags from Unsegmented Videos of Multiple Human Actions" (ICDM 2011)
Human Recognition Datasets:
- iLIDS Video re-IDentification (iLIDS-VID) Dataset (new)
- Mobile Re-identification Platform (MRP) Drone Dataset (new)
- Underground Re-Identification (GRID) Dataset
- QMUL i-LIDS Re-Identification Dataset - Refs: "Associating Groups of People"
(BMVC 2009) and "Group Association: Assisting Re-Identification by Visual Context" (Person Re-Identification Springer 2014)
- QMUL i-LIDS Pedestrian Detection Dataset - Refs: "Quantifying Contextual Information for Object Detection" (ICCV 2009) and "Quantifying and Transferring Contextual Information in Object Detection" (PAMI 2012)
- QMUL Re-Identification Attribute Labelling (for VIPeR, GRID and PRID datasets)
- QMUL Multiview Face Dataset
Video Summerisation Datasets:
- Queen Mary Multi-Camera Distributed Traffic Scenes (QMDTS) Dataset (new)
- TIme Square Intersection (TISI) Dataset
- Educational Resource Centre (ERCe) Dataset
Royal Society Newton Advanced Fellowship on Person Re-Identification
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)
ViTAB (Video-based Threat Assessment and Biometrics) Network
SERVE (Surveillance, Evaluation, Research, Validation, and Exploitation) Network
s.gong AT qmul.ac.uk