Segment Anything in High Quality L Ke*, M Ye*, M Danelljan, Y Liu, YW Tai, CK Tang, F Yu Advances in Neural Information Processing Systems (NeurIPS), 2023 | 319 | 2023 |
Gaussian grouping: Segment and edit anything in 3d scenes M Ye, M Danelljan, F Yu, L Ke European Conference on Computer Vision (ECCV), 2023 | 112 | 2023 |
Cascade-DETR: Delving into High-Quality Universal Object Detection M Ye*, L Ke*, S Li, YW Tai, CK Tang, M Danelljan, F Yu IEEE International Conference on Computer Vision (ICCV), 2023 | 29 | 2023 |
Stable segment anything model Q Fan, X Tao, L Ke, M Ye, Y Zhang, P Wan, Z Wang, YW Tai, CK Tang International Conference on Learning Representations (ICLR), 2023 | 5 | 2023 |
Segment Anything in High Quality. arXiv 2023 L Ke, M Ye, M Danelljan, Y Liu, YW Tai, CK Tang, F Yu arXiv preprint arXiv:2306.01567, 0 | 5 | |
What Do We Learn from 300K Leaf Epidermal Segments? H Zhang, Z Wei, M Ye, L Ke, G Tombak, S Ji, D Meng, E Konukoglu, ... 46th New Phytologist Symposium, 2024 | | 2024 |
Gaussian Grouping: Segment and Edit Anything in 3D Scenes—–Supplementary Material—– M Ye, M Danelljan, F Yu, L Ke | | |