| Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection S Zhang, C Chi, Y Yao, Z Lei, SZ Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1591 | 2020 |
| 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 | 92 | 2022 |
| Cross-dataset training for class increasing object detection Y Yao, Y Wang, Y Guo, J Lin, H Qin, J Yan arXiv preprint arXiv:2001.04621, 2020 | 16 | 2020 |
| 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 |
| Towards frame rate agnostic multi-object tracking W Feng, L Bai, Y Yao, F Yu, W Ouyang International Journal of Computer Vision, 1-20, 2023 | 3 | 2023 |
| Similarity-and Quality-Guided Relation Learning for Joint Detection and Tracking W Feng, L Bai, Y Yao, W Gan, W Wu, W Ouyang IEEE Transactions on Multimedia, 2023 | 3 | 2023 |
| Dense receptive field for object detection Y Yao, Y Dong, Z Huang, H Bai 2018 24th International Conference on Pattern Recognition (ICPR), 1815-1820, 2018 | 3 | 2018 |
| 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 |
| SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Y Wang, Y Li, R Gong, A Liu, Y Wang, J Hu, Y Yao, T Xiaotian, F Yu, X Liu, ... MLSys | 2023, 0 | | |
