| SOLOv2: Dynamic and fast instance segmentation X Wang, R Zhang, T Kong, L Li, C Shen Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 843 | 2020 |
| SOLO: Segmenting objects by locations X Wang, T Kong, C Shen, Y Jiang, L Li Proc. Eur. Conf. Computer Vision (ECCV), 2020 | 820 | 2020 |
| End-to-End Video Instance Segmentation with Transformers Y Wang, Z Xu, X Wang, C Shen, B Cheng, H Shen, H Xia IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 779 | 2021 |
| Conditional Positional Encodings for Vision Transformers X Chu, Z Tian, B Zhang, X Wang, X Wei, H Xia, C Shen arXiv preprint arXiv:2102.10882, 2021 | 744* | 2021 |
| Dense Contrastive Learning for Self-Supervised Visual Pre-Training X Wang, R Zhang, C Shen, T Kong, L Li IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 742 | 2021 |
| Repulsion loss: Detecting pedestrians in a crowd X Wang, T Xiao, Y Jiang, S Shao, J Sun, C Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 7774-7783, 2018 | 621 | 2018 |
| Eva: Exploring the limits of masked visual representation learning at scale Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 535 | 2023 |
| Vision mamba: Efficient visual representation learning with bidirectional state space model L Zhu, B Liao, Q Zhang, X Wang, W Liu, X Wang arXiv preprint arXiv:2401.09417, 2024 | 460 | 2024 |
| Associatively segmenting instances and semantics in point clouds X Wang, S Liu, X Shen, C Shen, J Jia IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 4096-4105, 2019 | 292 | 2019 |
| Eva-clip: Improved training techniques for clip at scale Q Sun, Y Fang, L Wu, X Wang, Y Cao arXiv preprint arXiv:2303.15389, 2023 | 262 | 2023 |
| BoxInst: High-Performance Instance Segmentation with Box Annotations Z Tian, C Shen, X Wang, H Chen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 260 | 2021 |
| SegGPT: Segmenting Everything In Context X Wang, X Zhang, Y Cao, W Wang, C Shen, T Huang arXiv preprint arXiv:2304.03284, 2023 | 214* | 2023 |
| Images speak in images: A generalist painter for in-context visual learning X Wang, W Wang, Y Cao, C Shen, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 174 | 2023 |
| Eva-02: A visual representation for neon genesis Y Fang, Q Sun, X Wang, T Huang, X Wang, Y Cao Image and Vision Computing 149, 105171, 2023 | 160 | 2023 |
| Emu: Generative pretraining in multimodality Q Sun, Q Yu, Y Cui, F Zhang, X Zhang, Y Wang, H Gao, J Liu, T Huang, ... The Twelfth International Conference on Learning Representations, 2023 | 151* | 2023 |
| Freesolo: Learning to segment objects without annotations X Wang, Z Yu, S De Mello, J Kautz, A Anandkumar, C Shen, JM Alvarez Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 114 | 2022 |
| Generative multimodal models are in-context learners Q Sun, Y Cui, X Zhang, F Zhang, Q Yu, Y Wang, Y Rao, J Liu, T Huang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 110 | 2023 |
| Tfpose: Direct human pose estimation with transformers W Mao, Y Ge, C Shen, Z Tian, X Wang, Z Wang arXiv preprint arXiv:2103.15320, 2021 | 103 | 2021 |
| SOLO: A Simple Framework for Instance Segmentation X Wang, R Zhang, C Shen, T Kong, L Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 90 | 2021 |
| Poseur: Direct human pose regression with transformers W Mao, Y Ge, C Shen, Z Tian, X Wang, Z Wang, A den Hengel European conference on computer vision, 72-88, 2022 | 88 | 2022 |
