| Towards open vocabulary learning: A survey J Wu, X Li, S Xu, H Yuan, H Ding, Y Yang, X Li, J Zhang, Y Tong, X Jiang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 37 | 2024 |
| Panoptic-partformer: Learning a unified model for panoptic part segmentation X Li, S Xu, Y Yang, G Cheng, Y Tong, D Tao European Conference on Computer Vision, 729-747, 2022 | 31 | 2022 |
| Fashionformer: A simple, effective and unified baseline for human fashion segmentation and recognition S Xu, X Li, J Wang, G Cheng, Y Tong, D Tao European Conference on Computer Vision, 545-563, 2022 | 27 | 2022 |
| Panopticpartformer++: A unified and decoupled view for panoptic part segmentation X Li, S Xu, Y Yang, H Yuan, G Cheng, Y Tong, Z Lin, MH Yang, D Tao arXiv preprint arXiv:2301.00954, 2023 | 14 | 2023 |
| Dst-det: Simple dynamic self-training for open-vocabulary object detection S Xu, X Li, S Wu, W Zhang, Y Li, G Cheng, Y Tong, K Chen, CC Loy arXiv preprint arXiv:2310.01393, 2023 | 6 | 2023 |
| RAP-SAM: Towards Real-Time All-Purpose Segment Anything S Xu, H Yuan, Q Shi, L Qi, J Wang, Y Yang, Y Li, K Chen, Y Tong, ... arXiv preprint arXiv:2401.10228, 2024 | 1 | 2024 |
| Query Learning of Both Thing and Stuff for Panoptic Segmentation S Xu, X Li, Y Yang, H Li, G Cheng, Y Tong 2022 IEEE International Conference on Image Processing (ICIP), 716-720, 2022 | | 2022 |
Xiangtai LiMMLab@NTU, S-Lab, Nanyang Technological University | Peking UniversityBestätigte E-Mail-Adresse bei pku.edu.cn
