Yu-Gang Jiang
Yu-Gang Jiang
Professor, Computer Science, Fudan University, Shanghai
Verified email at fudan.edu.cn - Homepage
TitleCited byYear
Supervised hashing with kernels
W Liu, J Wang, R Ji, YG Jiang, SF Chang
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2074-2081, 2012
Evaluating bag-of-visual-words representations in scene classification
J Yang, YG Jiang, AG Hauptmann, CW Ngo
Proceedings of the ACM SIGMM workshop on multimedia information retrieval …, 2007
Towards optimal bag-of-features for object categorization and semantic video retrieval
YG Jiang, CW Ngo, J Yang
Proceedings of the 6th ACM international conference on Image and video …, 2007
Representations of keypoint-based semantic concept detection: A comprehensive study
YG Jiang, J Yang, CW Ngo, AG Hauptmann
Multimedia, IEEE Transactions on 12 (1), 42-53, 2010
THUMOS challenge: Action recognition with a large number of classes
YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar
Consumer video understanding: a benchmark database and an evaluation of human and machine performance
YG Jiang, G Ye, SF Chang, D Ellis, AC Loui
Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 29, 2011
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification
Z Wu, X Wang, YG Jiang, H Ye, X Xue
Proceedings of the 23rd ACM international conference on Multimedia, 461-470, 2015
Trajectory-Based Modeling of Human Actions with Motion Reference Points
YG Jiang, Q Dai, X Xue, W Liu, CW Ngo
ECCV, 2012
High-level event recognition in unconstrained videos
YG Jiang, S Bhattacharya, SF Chang, M Shah
International Journal of Multimedia Information Retrieval, 1-29, 2012
Exploiting feature and class relationships in video categorization with regularized deep neural networks
YG Jiang, Z Wu, J Wang, X Xue, SF Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Dsod: Learning deeply supervised object detectors from scratch
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017
Columbia-UCF TRECVID2010 multimedia event detection: Combining multiple modalities, contextual concepts, and temporal matching
YG Jiang, X Zeng, G Ye, S Bhattacharya, D Ellis, M Shah, SF Chang
NIST TRECVid Workshop 2, 6, 2010
Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation
CW Ngo, WL Zhao, YG Jiang
Proceedings of the 14th ACM international conference on Multimedia, 845-854, 2006
Video event detection using motion relativity and visual relatedness
F Wang, YG Jiang, CW Ngo
Proceedings of the 16th ACM international conference on Multimedia, 239-248, 2008
Domain adaptive semantic diffusion for large scale context-based video annotation
YG Jiang, J Wang, SF Chang, CW Ngo
2009 IEEE 12th International Conference on Computer Vision (ICCV), 1420-1427, 2009
Learning Hash Codes with Listwise Supervision
J Wang, W Liu, AX Sun, YG Jiang
ICCV, 2013
Exploring inter-feature and inter-class relationships with deep neural networks for video classification
Z Wu, YG Jiang, J Wang, J Pu, X Xue
Proceedings of the 22nd ACM international conference on Multimedia, 167-176, 2014
Columbia University/VIREO-CityU/IRIT TRECVID2008 high-level feature extraction and interactive video search
SF Chang, J He, YG Jiang, EE Khoury, CW Ngo, A Yanagawa, E Zavesky
NIST TRECVID Workshop, 2008
THUMOS challenge: Action recognition with a large number of classes
A Gorban, H Idrees, YG Jiang, AR Zamir, I Laptev, M Shah, R Sukthankar
The THUMOS challenge on action recognition for videos “in the wild”
H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah
Computer Vision and Image Understanding 155, 1-23, 2017
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