Jingkuan Song(宋井宽)
Jingkuan Song(宋井宽)
Columbia University, University of Electronic Science and Technology of China
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A survey on learning to hash
J Wang, T Zhang, N Sebe, HT Shen
IEEE transactions on pattern analysis and machine intelligence 40 (4), 769-790, 2017
Hashing for similarity search: A survey
J Wang, HT Shen, J Song, J Ji
arXiv preprint arXiv:1408.2927, 2014
Inter-media hashing for large-scale retrieval from heterogeneous data sources
J Song, Y Yang, Y Yang, Z Huang, HT Shen
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
D Xu, E Ricci, Y Yan, J Song, N Sebe
British Machine Vision Conference (BMVC 2015), 2015
Multiple feature hashing for real-time large scale near-duplicate video retrieval
J Song, Y Yang, Z Huang, HT Shen, R Hong
Proceedings of the 19th ACM international conference on Multimedia, 423-432, 2011
Effective multiple feature hashing for large-scale near-duplicate video retrieval
J Song, Y Yang, Z Huang, HT Shen, J Luo
IEEE Transactions on Multimedia 15 (8), 1997-2008, 2013
Nais: Neural attentive item similarity model for recommendation
X He, Z He, J Song, Z Liu, YG Jiang, TS Chua
IEEE Transactions on Knowledge and Data Engineering 30 (12), 2354-2366, 2018
Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition
X Wang, L Gao, J Song, H Shen
IEEE Signal Processing Letters 24 (4), 510-514, 2016
Multi-feature fusion via hierarchical regression for multimedia analysis
Y Yang, J Song, Z Huang, Z Ma, N Sebe, AG Hauptmann
IEEE Transactions on Multimedia 15 (3), 572-581, 2013
From deterministic to generative: Multimodal stochastic RNNs for video captioning
J Song, Y Guo, L Gao, X Li, A Hanjalic, HT Shen
IEEE transactions on neural networks and learning systems 30 (10), 3047-3058, 2018
Quantization-based hashing: a general framework for scalable image and video retrieval
J Song, L Gao, L Liu, X Zhu, N Sebe
Pattern Recognition 75, 175-187, 2018
Graph self-representation method for unsupervised feature selection
R Hu, X Zhu, D Cheng, W He, Y Yan, J Song, S Zhang
Neurocomputing 220, 130-137, 2017
Self-supervised video hashing with hierarchical binary auto-encoder
J Song, H Zhang, X Li, L Gao, M Wang, R Hong
IEEE Transactions on Image Processing 27 (7), 3210-3221, 2018
A fast optimization method for general binary code learning
F Shen, X Zhou, Y Yang, J Song, HT Shen, D Tao
IEEE Transactions on Image Processing 25 (12), 5610-5621, 2016
Local and global structure preservation for robust unsupervised spectral feature selection
X Zhu, S Zhang, R Hu, Y Zhu
IEEE Transactions on Knowledge and Data Engineering 30 (3), 517-529, 2017
Hierarchical LSTM with adjusted temporal attention for video captioning
J Song, Z Guo, L Gao, W Liu, D Zhang, HT Shen
arXiv preprint arXiv:1706.01231, 2017
Discrete multimodal hashing with canonical views for robust mobile landmark search
L Zhu, Z Huang, X Liu, X He, J Sun, X Zhou
IEEE Transactions on Multimedia 19 (9), 2066-2079, 2017
Optimized graph learning using partial tags and multiple features for image and video annotation
J Song, L Gao, F Nie, HT Shen, Y Yan, N Sebe
IEEE Transactions on Image Processing 25 (11), 4999-5011, 2016
Binary generative adversarial networks for image retrieval
J Song
arXiv preprint arXiv:1708.04150, 2017
Matrix tri-factorization with manifold regularizations for zero-shot learning
X Xu, F Shen, Y Yang, D Zhang, H Tao Shen, J Song
Proceedings of the IEEE conference on computer vision and pattern …, 2017
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