Obserwuj
Jingkuan Song(宋井宽)
Jingkuan Song(宋井宽)
Columbia University, University of Electronic Science and Technology of China
Zweryfikowany adres z columbia.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A survey on learning to hash
J Wang, T Zhang, J Song, N Sebe, HT Shen
IEEE transactions on pattern analysis and machine intelligence 40 (4), 769-790, 2017
10482017
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
6372013
Hashing for similarity search: A survey
J Wang, HT Shen, J Song, J Ji
arXiv preprint arXiv:1408.2927, 2014
6302014
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
6272015
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
5122018
Binary neural networks: A survey
H Qin, R Gong, X Liu, X Bai, J Song, N Sebe
Pattern Recognition 105, 107281, 2020
4662020
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
3552011
Forward and backward information retention for accurate binary neural networks
H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3102020
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
2952016
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
2722013
Beyond rnns: Positional self-attention with co-attention for video question answering
X Li, J Song, L Gao, X Liu, W Huang, X He, C Gan
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8658-8665, 2019
2712019
Hierarchical LSTMs with adaptive attention for visual captioning
L Gao, X Li, J Song, HT Shen
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1112-1131, 2019
2632019
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
2522018
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
2452018
Salience-guided cascaded suppression network for person re-identification
X Chen, C Fu, Y Zhao, F Zheng, J Song, R Ji, Y Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2392020
Binary generative adversarial networks for image retrieval
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
2222018
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments
X Bai, X Wang, X Liu, Q Liu, J Song, N Sebe, B Kim
Pattern Recognition 120, 108102, 2021
2132021
Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval
X Xu, H Lu, J Song, Y Yang, HT Shen, X Li
IEEE transactions on cybernetics 50 (6), 2400-2413, 2019
2082019
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
1912017
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
1882018
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