| Deep metric learning with angular loss J Wang, F Zhou, S Wen, X Liu, Y Lin Proceedings of the IEEE international conference on computer vision, 2593-2601, 2017 | 410 | 2017 |
| Bmn: Boundary-matching network for temporal action proposal generation T Lin, X Liu, X Li, E Ding, S Wen Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 295 | 2019 |
| 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 Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 192 | 2019 |
| Attention clusters: Purely attention based local feature integration for video classification X Long, C Gan, G De Melo, J Wu, X Liu, S Wen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 192 | 2018 |
| Perspective-guided convolution networks for crowd counting Z Yan, Y Yuan, W Zuo, X Tan, Y Wang, S Wen, E Ding Proceedings of the IEEE/CVF international conference on computer vision, 952-961, 2019 | 137 | 2019 |
| Image inpainting with learnable bidirectional attention maps C Xie, S Liu, C Li, MM Cheng, W Zuo, X Liu, S Wen, E Ding Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 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 | 102 | 2017 |
| Stnet: Local and global spatial-temporal modeling for action recognition D He, Z Zhou, C Gan, F Li, X Liu, Y Li, L Wang, S Wen Proceedings of the AAAI conference on artificial intelligence 33 (01), 8401-8408, 2019 | 88 | 2019 |
| PP-YOLO: An effective and efficient implementation of object detector X Long, K Deng, G Wang, Y Zhang, Q Dang, Y Gao, H Shen, J Ren, ... arXiv preprint arXiv:2007.12099, 2020 | 84 | 2020 |
| Multimodal keyless attention fusion for video classification X Long, C Gan, G Melo, X Liu, Y Li, F Li, S Wen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 83 | 2018 |
| Read, watch, and move: Reinforcement learning for temporally grounding natural language descriptions in videos D He, X Zhao, J Huang, F Li, X Liu, S Wen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8393-8400, 2019 | 79 | 2019 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 74 | 2019 |
| Cross-modality attention with semantic graph embedding for multi-label classification R You, Z Guo, L Cui, X Long, Y Bao, S Wen Proceedings of the AAAI conference on artificial intelligence 34 (07), 12709 …, 2020 | 70 | 2020 |
| Multi-label classification with label graph superimposing Y Wang, D He, F Li, X Long, Z Zhou, J Ma, S Wen Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12265 …, 2020 | 69 | 2020 |
| Dynamic instance normalization for arbitrary style transfer Y Jing, X Liu, Y Ding, X Wang, E Ding, M Song, S Wen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4369-4376, 2020 | 68 | 2020 |
| Multi-agent reinforcement learning based frame sampling for effective untrimmed video recognition W Wu, D He, X Tan, S Chen, S Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 68 | 2019 |
| Localizing by describing: Attribute-guided attention localization for fine-grained recognition X Liu, J Wang, S Wen, E Ding, Y Lin Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 60 | 2017 |
| TPM: Multiple object tracking with tracklet-plane matching J Peng, T Wang, W Lin, J Wang, J See, S Wen, E Ding Pattern Recognition 107, 107480, 2020 | 54 | 2020 |
| 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 | 54 | 2017 |
| Revisiting the effectiveness of off-the-shelf temporal modeling approaches for large-scale video classification Y Bian, C Gan, X Liu, F Li, X Long, Y Li, H Qi, J Zhou, S Wen, Y Lin arXiv preprint arXiv:1708.03805, 2017 | 53 | 2017 |
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