Deep Speaker: an End-to-End Neural Speaker Embedding System C Li, X Ma, B Jiang, X Li, X Zhang, X Liu, Y Cao, A Kannan, Z Zhu arXiv preprint arXiv:1705.02304, 2017 | 268 | 2017 |
Deep Metric Learning with Angular Loss J Wang, F Zhou, S Wen, X Liu, Y Lin ICCV, 2017, 2017 | 228 | 2017 |
Semi-supervised coupled dictionary learning for person re-identification X Liu, M Song, D Tao, X Zhou, C Chen, J Bu CVPR, 2014, 3550-3557, 2014 | 216 | 2014 |
Kernel Pooling for Convolutional Neural Networks Y Cui, F Zhou, J Wang, X Liu, Y Lin, S Belongie CVPR, 2017, 2017 | 181 | 2017 |
Probabilistic graphlet transfer for photo cropping L Zhang, M Song, Q Zhao, X Liu, J Bu, C Chen IEEE Transactions on Image Processing 22 (2), 802-815, 2012 | 163 | 2012 |
Probabilistic graphlet cut: Exploiting spatial structure cue for weakly supervised image segmentation L Zhang, M Song, Z Liu, X Liu, J Bu, C Chen CVPR, 2013, 1908-1915, 2013 | 150 | 2013 |
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification X Long, C Gan, G de Melo, J Wu, X Liu, S Wen CVPR, 2018, 2018 | 120 | 2018 |
Semi-supervised node splitting for random forest construction X Liu, M Song, D Tao, Z Liu, L Zhang, C Chen, J Bu CVPR, 2013, 492-499, 2013 | 91* | 2013 |
Fine-Grained Recognition with Automatic and Efficient Part Attention X Liu, T Xia, J Wang, Y Yang, F Zhou, Y Lin arXiv preprint arXiv:1603.06765, 2016, 2017 | 74* | 2017 |
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing M Liu, Y Ding, M Xia, X Liu, E Ding, W Zuo, S Wen CVPR, 2019, 2019 | 71 | 2019 |
Recognizing architecture styles by hierarchical sparse coding of blocklets L Zhang, M Song, X Liu, L Sun, C Chen, J Bu Information Sciences 254, 141-154, 2014 | 68 | 2014 |
Fast multi-view segment graph kernel for object classification L Zhang, M Song, X Liu, J Bu, C Chen Signal Processing 93 (6), 1597-1607, 2013 | 67 | 2013 |
Attribute-restricted latent topic model for person re-identification X Liu, M Song, Q Zhao, D Tao, C Chen, J Bu Pattern Recognition 45 (12), 4204-4213, 2012 | 64 | 2012 |
BMN: Boundary-Matching Network for Temporal Action Proposal Generation T Lin, X Liu, X Li, E Ding, S Wen Proceedings of the IEEE International Conference on Computer Vision, 3889-3898, 2019 | 63 | 2019 |
Dynamic computational time for visual attention Z Li, Y Yang, X Liu, F Zhou, S Wen, W Xu Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 61 | 2017 |
Weakly supervised multiclass video segmentation X Liu, D Tao, M Song, Y Ruan, C Chen, J Bu CVPR, 57-64, 2014 | 60 | 2014 |
Multimodal keyless attention fusion for video classification X Long, C Gan, G de Melo, X Liu, Y Li, F Li, S Wen AAAI, 2018, 2018 | 48 | 2018 |
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding F Li, C Gan, X Liu, Y Bian, X Long, Y Li, Z Li, J Zhou, S Wen arXiv preprint arXiv:1707.04555, 2017 | 43 | 2017 |
Localizing by describing: Attribute-guided attention localization for fine-grained recognition X Liu, J Wang, S Wen, E Ding, Y Lin AAAI, 2017, 2017 | 42 | 2017 |
Deepchart: Combining deep convolutional networks and deep belief networks in chart classification B Tang, X Liu, J Lei, M Song, D Tao, S Sun, F Dong Signal Processing 124, 156-161, 2016 | 41 | 2016 |