| Denseclip: Language-guided dense prediction with context-aware prompting Y Rao, W Zhao, G Chen, Y Tang, Z Zhu, G Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 616 | 2022 |
| Deep progressive reinforcement learning for skeleton-based action recognition Y Tang, Y Tian, J Lu, P Li, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 486 | 2018 |
| Lavt: Language-aware vision transformer for referring image segmentation Z Yang, J Wang, Y Tang, K Chen, H Zhao, PHS Torr Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 342 | 2022 |
| Coin: A large-scale dataset for comprehensive instructional video analysis Y Tang, D Ding, Y Rao, Y Zheng, D Zhang, L Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 342 | 2019 |
| Hornet: Efficient high-order spatial interactions with recursive gated convolutions Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu Advances in Neural Information Processing Systems 35, 10353-10366, 2022 | 332 | 2022 |
| Wizardmath: Empowering mathematical reasoning for large language models via reinforced evol-instruct H Luo, Q Sun, C Xu, P Zhao, J Lou, C Tao, X Geng, Q Lin, S Chen, Y Tang, ... arXiv preprint arXiv:2308.09583v2, 2023 | 330 | 2023 |
| Uncertainty-aware score distribution learning for action quality assessment Y Tang, Z Ni, J Zhou, D Zhang, J Lu, Y Wu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 155 | 2020 |
| Multi-stream deep neural networks for rgb-d egocentric action recognition Y Tang, Z Wang, J Lu, J Feng, J Zhou IEEE Transactions on Circuits and Systems for Video Technology 29 (10), 3001 …, 2018 | 72 | 2018 |
| Scalablevit: Rethinking the context-oriented generalization of vision transformer R Yang, H Ma, J Wu, Y Tang, X Xiao, M Zheng, X Li European Conference on Computer Vision, 480-496, 2022 | 64 | 2022 |
| Learning semantics-preserving attention and contextual interaction for group activity recognition Y Tang, J Lu, Z Wang, M Yang, J Zhou IEEE Transactions on Image Processing 28 (10), 4997-5012, 2019 | 58 | 2019 |
| Action recognition in RGB-D egocentric videos Y Tang, Y Tian, J Lu, J Feng, J Zhou 2017 IEEE International Conference on Image Processing (ICIP), 3410-3414, 2017 | 57 | 2017 |
| Mining semantics-preserving attention for group activity recognition Y Tang, Z Wang, P Li, J Lu, M Yang, J Zhou Proceedings of the 26th ACM international conference on Multimedia, 1283-1291, 2018 | 55 | 2018 |
| Global knowledge calibration for fast open-vocabulary segmentation K Han, Y Liu, JH Liew, H Ding, J Liu, Y Wang, Y Tang, Y Yang, J Feng, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 797-807, 2023 | 44 | 2023 |
| Global spectral filter memory network for video object segmentation Y Liu, R Yu, J Wang, X Zhao, Y Wang, Y Tang, Y Yang European Conference on Computer Vision, 648-665, 2022 | 42 | 2022 |
| Bnv-fusion: Dense 3d reconstruction using bi-level neural volume fusion K Li, Y Tang, VA Prisacariu, PHS Torr Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Finedance: A fine-grained choreography dataset for 3d full body dance generation R Li, J Zhao, Y Zhang, M Su, Z Ren, H Zhang, Y Tang, X Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 39 | 2023 |
| Comprehensive instructional video analysis: The coin dataset and performance evaluation Y Tang, J Lu, J Zhou IEEE transactions on pattern analysis and machine intelligence 43 (9), 3138-3153, 2020 | 39 | 2020 |
| Graph interaction networks for relation transfer in human activity videos Y Tang, Y Wei, X Yu, J Lu, J Zhou IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2872-2886, 2020 | 39 | 2020 |
| Soc: Semantic-assisted object cluster for referring video object segmentation Z Luo, Y Xiao, Y Liu, S Li, Y Wang, Y Tang, X Li, Y Yang Advances in Neural Information Processing Systems 36, 2024 | 36 | 2024 |
| Ordinalclip: Learning rank prompts for language-guided ordinal regression W Li, X Huang, Z Zhu, Y Tang, X Li, J Zhou, J Lu Advances in Neural Information Processing Systems 35, 35313-35325, 2022 | 34 | 2022 |
Jiwen Lu (鲁继文)Professor, Department of Automation, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证