| Modeling spatial-temporal clues in a hybrid deep learning framework for video classification Z Wu, X Wang, YG Jiang, H Ye, X Xue Proceedings of the 23rd ACM international conference on Multimedia, 461-470, 2015 | 517 | 2015 |
| Blockdrop: Dynamic inference paths in residual networks Z Wu, T Nagarajan, A Kumar, S Rennie, LS Davis, K Grauman, R Feris Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 431 | 2018 |
| VITON: An Image-based Virtual Try-on Network X Han, Z Wu, Z Wu, R Yu, LS Davis Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 410 | 2018 |
| Exploiting feature and class relationships in video categorization with regularized deep neural networks YG Jiang, Z Wu, J Wang, X Xue, SF Chang IEEE transactions on pattern analysis and machine intelligence 40 (2), 352-364, 2017 | 380 | 2017 |
| Learning fashion compatibility with bidirectional lstms X Han, Z Wu, YG Jiang, LS Davis Proceedings of the 25th ACM international conference on Multimedia, 1078-1086, 2017 | 330 | 2017 |
| Multi-stream multi-class fusion of deep networks for video classification Z Wu, YG Jiang, X Wang, H Ye, X Xue Proceedings of the 24th ACM international conference on Multimedia, 791-800, 2016 | 261* | 2016 |
| DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation Z Wu, X Han, YL Lin, MG Uzunbas, T Goldstein, SN Lim, LS Davis Proceedings of the European Conference on Computer Vision, 2018 | 233 | 2018 |
| Self-Monitoring Navigation Agent via Auxiliary Progress Estimation CY Ma, J Lu, Z Wu, G AlRegib, Z Kira, R Socher, C Xiong arXiv preprint arXiv:1901.03035, 2019 | 207 | 2019 |
| Automatic spatially-aware fashion concept discovery X Han, Z Wu, PX Huang, X Zhang, M Zhu, Y Li, Y Zhao, LS Davis Proceedings of the IEEE International Conference on Computer Vision, 1463-1471, 2017 | 175 | 2017 |
| Exploring inter-feature and inter-class relationships with deep neural networks for video classification Z Wu, YG Jiang, J Wang, J Pu, X Xue Proceedings of the 22nd ACM international conference on Multimedia, 167-176, 2014 | 157 | 2014 |
| The regretful agent: Heuristic-aided navigation through progress estimation CY Ma, Z Wu, G AlRegib, C Xiong, Z Kira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 151 | 2019 |
| Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Z Wu, SN Lim, L Davis, T Goldstein arXiv preprint arXiv:1910.14667, 2019 | 150 | 2019 |
| Adaframe: Adaptive frame selection for fast video recognition Z Wu, C Xiong, CY Ma, R Socher, LS Davis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 143 | 2019 |
| Evaluating two-stream cnn for video classification H Ye, Z Wu, RW Zhao, X Wang, YG Jiang, X Xue Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 134 | 2015 |
| Deep Learning for Video Classification and Captioning Z Wu, T Yao, Y Fu, YG Jiang Frontiers of Multimedia Research, 3--29, 2018 | 124 | 2018 |
| Harnessing Object and Scene Semantics for Large-Scale Video Understanding Z Wu, Y Fu, YG Jiang, L Sigal The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 …, 2016 | 104 | 2016 |
| Robust optimization as data augmentation for large-scale graphs K Kong, G Li, M Ding, Z Wu, C Zhu, B Ghanem, G Taylor, T Goldstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 96* | 2022 |
| Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification YG Jiang, Z Wu, J Tang, Z Li, X Xue, SF Chang IEEE Transactions on Multimedia, 2018 | 95 | 2018 |
| Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning. Q Dai, RW Zhao, Z Wu, X Wang, Z Gu, W Wu, YG Jiang MediaEval, 2015 | 86 | 2015 |
| LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Z Wu, C Xiong, YG Jiang, LS Davis Advances in Neural Information Processing Systems, 7778-7787, 2019 | 83 | 2019 |
