| Resnest: Split-attention networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2007 | 2022 |
| Improving Semantic Segmentation via Video Propagation and Label Relaxation Y Zhu, K Sapra, FA Reda, KJ Shih, S Newsam, A Tao, B Catanzaro IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 497 | 2019 |
| Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, AG Hauptmann Asian Conference on Computer Vision (ACCV), 2018 | 388 | 2018 |
| DenseNet for Dense Flow Y Zhu, S Newsam Image Processing (ICIP), 2017 IEEE International Conference on, 2017 | 337 | 2017 |
| Selective sparse sampling for fine-grained image recognition Y Ding, Y Zhou, Y Zhu, Q Ye, J Jiao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 290 | 2019 |
| Vision-language navigation with self-supervised auxiliary reasoning tasks F Zhu, Y Zhu, X Chang, X Liang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 266 | 2020 |
| Vidtr: Video transformer without convolutions Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 236* | 2021 |
| Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21 (23), 1-7, 2020 | 235 | 2020 |
| A comprehensive study of deep video action recognition Y Zhu, X Li, C Liu, M Zolfaghari, Y Xiong, C Wu, Z Zhang, J Tighe, ... arXiv preprint arXiv:2012.06567, 2020 | 224 | 2020 |
| Motion-aware feature for improved video anomaly detection Y Zhu, S Newsam arXiv preprint arXiv:1907.10211, 2019 | 217 | 2019 |
| Soft proposal networks for weakly supervised object localization Y Zhu, Y Zhou, Q Ye, Q Qiu, J Jiao Proceedings of the IEEE international conference on computer vision, 1841-1850, 2017 | 173 | 2017 |
| Aim: Adapting image models for efficient video action recognition T Yang, Y Zhu, Y Xie, A Zhang, C Chen, M Li arXiv preprint arXiv:2302.03024, 2023 | 167 | 2023 |
| Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 159 | 2017 |
| Earthformer: Exploring space-time transformers for earth system forecasting Z Gao, X Shi, H Wang, Y Zhu, YB Wang, M Li, DY Yeung Advances in Neural Information Processing Systems 35, 25390-25403, 2022 | 155 | 2022 |
| Domain Consensus Clustering for Universal Domain Adaptation G Li, G Kang, Y Zhu, Y Wei, Y Yang | 155 | 2021 |
| Crossclr: Cross-modal contrastive learning for multi-modal video representations M Zolfaghari, Y Zhu, P Gehler, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 152 | 2021 |
| Towards universal representation for unseen action recognition Y Zhu, Y Long, Y Guan, S Newsam, L Shao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 137 | 2018 |
| Soon: Scenario oriented object navigation with graph-based exploration F Zhu, X Liang, Y Zhu, Q Yu, X Chang, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 113 | 2021 |
| Efficient large language models: A survey Z Wan, X Wang, C Liu, S Alam, Y Zheng, J Liu, Z Qu, S Yan, Y Zhu, ... arXiv preprint arXiv:2312.03863, 2023 | 96 | 2023 |
| Mixgen: A new multi-modal data augmentation X Hao, Y Zhu, S Appalaraju, A Zhang, W Zhang, B Li, M Li Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 94 | 2023 |
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