| Equalization loss for long-tailed object recognition J Tan, C Wang, B Li, Q Li, W Ouyang, C Yin, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 443 | 2020 |
| Equalization loss v2: A new gradient balance approach for long-tailed object detection J Tan, X Lu, G Zhang, C Yin, Q Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 150 | 2021 |
| Refinemask: Towards high-quality instance segmentation with fine-grained features G Zhang, X Lu, J Tan, J Li, Z Zhang, Q Li, X Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 108 | 2021 |
| Equalized focal loss for dense long-tailed object detection B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 88 | 2022 |
| 1st place solution of lvis challenge 2020: A good box is not a guarantee of a good mask J Tan, G Zhang, H Deng, C Wang, L Lu, Q Li, J Dai arXiv preprint arXiv:2009.01559, 2020 | 16 | 2020 |
| Liver tumor detection via a multi-scale intermediate multi-modal fusion network on MRI images C Pan, P Zhou, J Tan, B Sun, R Guan, Z Wang, Y Luo, J Lu 2021 IEEE international conference on image processing (ICIP), 299-303, 2021 | 5 | 2021 |
| The equalization losses: Gradient-driven training for long-tailed object recognition J Tan, B Li, X Lu, Y Yao, F Yu, T He, W Ouyang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 4 | 2023 |
| Equalization loss for large vocabulary instance segmentation J Tan, C Wang, Q Li, J Yan arXiv preprint arXiv:1911.04692, 2019 | 2 | 2019 |
| Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning B Li, Y Yao, J Tan, X Lu, F Yu, Y Luo, J Lu arXiv preprint arXiv:2210.05568, 2022 | 1 | 2022 |
| Rectify representation bias in vision-language models for long-tailed recognition B Li, Y Yao, J Tan, R Gong, J Lu, Y Luo Neural Networks 172, 106134, 2024 | | 2024 |
Wanli Ouyang (欧阳万里)Shanghai AI LabVerified email at sydney.edu.au
