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 | 1073 | 2017 |
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 | 647 | 2013 |
Hashing for similarity search: A survey J Wang, HT Shen, J Song, J Ji arXiv preprint arXiv:1408.2927, 2014 | 638 | 2014 |
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 | 637 | 2015 |
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 | 537 | 2018 |
Binary neural networks: A survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition 105, 107281, 2020 | 512 | 2020 |
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 | 365 | 2011 |
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 | 337 | 2020 |
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 | 298 | 2016 |
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 | 284 | 2019 |
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 | 277 | 2013 |
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 | 271 | 2019 |
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 | 258 | 2018 |
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 | 257 | 2020 |
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 | 255 | 2018 |
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 | 244 | 2021 |
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 | 228 | 2018 |
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 | 211 | 2019 |
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 | 196 | 2017 |
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 | 193 | 2018 |