| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 3101 | 2019 |
| Hybrid task cascade for instance segmentation K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1442 | 2019 |
| Spindle net: Person re-identification with human body region guided feature decomposition and fusion H Zhao, M Tian, S Sun, J Shao, J Yan, S Yi, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1034 | 2017 |
| Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition S Sun, Z Kuang, L Sheng, W Ouyang, W Zhang Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 360 | 2018 |
| Robust multi-modality multi-object tracking W Zhang, H Zhou, S Sun, Z Wang, J Shi, CC Loy Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 229 | 2019 |
| Is synthetic data from generative models ready for image recognition? R He, S Sun, X Yu, C Xue, W Zhang, P Torr, S Bai, X Qi ICLR, 2023 | 192 | 2023 |
| Fishnet: A versatile backbone for image, region, and pixel level prediction S Sun, J Pang, J Shi, S Yi, W Ouyang Advances in neural information processing systems 31, 2018 | 121 | 2018 |
| Vision transformer with progressive sampling X Yue*, S Sun*, Z Kuang, M Wei, PHS Torr, W Zhang, D Lin Proceedings of the IEEE/CVF International Conference on Computer Vision, 387-396, 2021 | 99 | 2021 |
| TransMix: Attend to Mix for Vision Transformers JN Chen*, S Sun*, J He, P Torr, A Yuille, S Bai arXiv preprint arXiv:2111.09833, 2021 | 90 | 2021 |
| Knowledge distillation as efficient pre-training: Faster convergence, higher data-efficiency, and better transferability R He, S Sun, J Yang, S Bai, X Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 36 | 2022 |
| Visual Parser: Representing Part-whole Hierarchies with Transformers S Sun, X Yue, S Bai, P Torr arXiv preprint arXiv:2107.05790, 2021 | 31 | 2021 |
| Slot-vps: Object-centric representation learning for video panoptic segmentation Y Zhou, H Zhang, H Lee, S Sun, P Li, Y Zhu, BI Yoo, X Qi, JJ Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model J Yuan, S Sun, D Omeiza, B Zhao, P Newman, L Kunze, M Gadd arXiv preprint arXiv:2402.10828, 2024 | 14 | 2024 |
| Remax: Relaxing for better training on efficient panoptic segmentation S Sun, W Wang, A Howard, Q Yu, P Torr, LC Chen Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Learning to sample the most useful training patches from images S Sun, L Chen, G Slabaugh, P Torr arXiv preprint arXiv:2011.12097, 2020 | 8 | 2020 |
| Real-Fake: Effective Training Data Synthesis Through Distribution Matching J Yuan, J Zhang, S Sun, P Torr, B Zhao ICLR, 2024 | 7 | 2024 |
| Exploring the hierarchy in relation labels for scene graph generation Y Zhou, S Sun, C Zhang, Y Li, W Ouyang arXiv preprint arXiv:2009.05834, 2020 | 7 | 2020 |
| Clip as rnn: Segment countless visual concepts without training endeavor S Sun, R Li, P Torr, X Gu, S Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Lumix: Improving mixup by better modelling label uncertainty S Sun, JN Chen, R He, A Yuille, P Torr, S Bai ICASSP, 2024 | 5 | 2024 |
| OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? R Li, S Sun, M Elhoseiny, P Torr Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
Wanli Ouyang (欧阳万里)Shanghai AI LabVerified email at sydney.edu.au
