| 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 |
| Counterfactual attention learning for fine-grained visual categorization and re-identification Y Rao, G Chen, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 314 | 2021 |
| Stochastic trajectory prediction via motion indeterminacy diffusion T Gu, G Chen, J Li, C Lin, Y Rao, J Zhou, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 212 | 2022 |
| PLOT: Prompt learning with optimal transport for vision-language models G Chen, W Yao, X Song, X Li, Y Rao, K Zhang International Conference on Learning Representations (ICLR 2023), 2023 | 187* | 2023 |
| Self-critical attention learning for person re-identification G Chen, C Lin, L Ren, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 185 | 2019 |
| Deep credible metric learning for unsupervised domain adaptation person re-identification G Chen, Y Lu, J Lu, J Zhou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 112 | 2020 |
| Person re-identification via attention pyramid G Chen, T Gu, J Lu, JA Bao, J Zhou IEEE Transactions on Image Processing 30, 7663-7676, 2021 | 109 | 2021 |
| Spatial-temporal attention-aware learning for video-based person re-identification G Chen, J Lu, M Yang, J Zhou IEEE Transactions on Image Processing 28 (9), 4192-4205, 2019 | 109 | 2019 |
| Finediving: A fine-grained dataset for procedure-aware action quality assessment J Xu, Y Rao, X Yu, G Chen, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 99 | 2022 |
| Temporal coherence or temporal motion: Which is more critical for video-based person re-identification? G Chen, Y Rao, J Lu, J Zhou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 85 | 2020 |
| Human trajectory prediction via counterfactual analysis G Chen, J Li, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 84 | 2021 |
| Deep meta metric learning G Chen, T Zhang, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 82 | 2019 |
| Partial disentanglement for domain adaptation L Kong, S Xie, W Yao, Y Zheng, G Chen, P Stojanov, V Akinwande, ... International conference on machine learning, 11455-11472, 2022 | 78* | 2022 |
| Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery S Zhang, S Khan, Z Shen, M Naseer, G Chen, FS Khan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 71 | 2023 |
| Temporally disentangled representation learning W Yao, G Chen, K Zhang Advances in Neural Information Processing Systems 35, 26492-26503, 2022 | 69* | 2022 |
| Personalized trajectory prediction via distribution discrimination G Chen, J Li, N Zhou, L Ren, J Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 53 | 2021 |
| Learning recurrent 3D attention for video-based person re-identification G Chen, J Lu, M Yang, J Zhou IEEE Transactions on Image Processing 29, 6963-6976, 2020 | 45 | 2020 |
| Adversarial alignment for source free object detection Q Chu, S Li, G Chen, K Li, X Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 452-460, 2023 | 33 | 2023 |
| Understanding masked autoencoders via hierarchical latent variable models L Kong, MQ Ma, G Chen, EP Xing, Y Chi, LP Morency, K Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Subspace identification for multi-source domain adaptation Z Li, R Cai, G Chen, B Sun, Z Hao, K Zhang Advances in Neural Information Processing Systems 36, 2024 | 27 | 2024 |
Jiwen Lu (鲁继文)Professor, Department of Automation, Tsinghua UniversityEmail verificata su tsinghua.edu.cn