| 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 | 670 | 2018 |
| 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 | 588 | 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 | 565 | 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 | 450 | 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 | 440 | 2017 |
| 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 | 309 | 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 | 292 | 2019 |
| 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 | 290* | 2016 |
| 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 | 280 | 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 | 272 | 2017 |
| M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection J Wang, Z Wu, J Chen, YG Jiang arXiv preprint arXiv:2104.09770, 2021 | 241 | 2021 |
| Bevt: Bert pretraining of video transformers R Wang, D Chen, Z Wu, Y Chen, X Dai, M Liu, YG Jiang, L Zhou, L Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 231 | 2022 |
| 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 | 228 | 2019 |
| 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 | 218* | 2022 |
| AdaViT: Adaptive Vision Transformers for Efficient Image Recognition L Meng, H Li, BC Chen, S Lan, Z Wu, YG Jiang, SN Lim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 209 | 2022 |
| 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 | 194 | 2019 |
| 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 | 171 | 2014 |
| Cross-domain contrastive learning for unsupervised domain adaptation R Wang, Z Wu, Z Weng, J Chen, GJ Qi, YG Jiang IEEE Transactions on Multimedia, 2022 | 160 | 2022 |
| Deep Learning for Video Classification and Captioning Z Wu, T Yao, Y Fu, YG Jiang Frontiers of Multimedia Research, 3--29, 2018 | 157 | 2018 |
| 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 | 149 | 2015 |
