| Prototype mixture models for few-shot semantic segmentation B Yang, C Liu, B Li, J Jiao, Q Ye Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 428 | 2020 |
| Beyond max-margin: Class margin equilibrium for few-shot object detection B Li, B Yang, C Liu, F Liu, R Ji, Q Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 192 | 2021 |
| Dynamic support network for few-shot class incremental learning B Yang, M Lin, Y Zhang, B Liu, X Liang, R Ji, Q Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2945-2951, 2022 | 52 | 2022 |
| Part-based semantic transform for few-shot semantic segmentation B Yang, F Wan, C Liu, B Li, X Ji, Q Ye IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7141-7152, 2021 | 38 | 2021 |
| Learnable distribution calibration for few-shot class-incremental learning B Liu, B Yang, L Xie, R Wang, Q Tian, Q Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 19 | 2023 |
| Learnable expansion-and-compression network for few-shot class-incremental learning B Yang, M Lin, B Liu, M Fu, C Liu, R Ji, Q Ye arXiv preprint arXiv:2104.02281, 2021 | 15 | 2021 |
| Beyond max-margin: Class margin equilibrium for few-shot object detection. In 2021 IEEE B Li, B Yang, C Liu, F Liu, R Ji, Q Ye CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7359-7368, 2021 | 5 | 2021 |
| ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding T Ma, L Xie, Y Tian, B Yang, Y Zhang, D Doermann, Q Ye arXiv preprint arXiv:2406.11327, 2024 | | 2024 |
Qixiang YeUniversity of Chinese Academy of Sciences, University of Maryland在 ucas.ac.cn 的电子邮件经过验证
