| BiMatting: Efficient Video Matting via Binarization H Qin*, L Ke*, X Ma, M Danelljan, YW Tai, CK Tang, X Liu, F Yu Advances in Neural Information Processing Systems (NeurIPS), 2023 | 5 | 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 | 12 | 2023 |
| Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data S Li, L Ke, K Pratama, YW Tai, CK Tang, KT Cheng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2020 | 190 | 2020 |
| Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation Q Fan*, L Ke*, W Pei, CK Tang, YW Tai European Conference on Computer Vision (ECCV), 2020 | 28 | 2020 |
| Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers L Ke, YW Tai, CK Tang CVPR 2021 & TPAMI 2023, 2021 | 180 | 2021 |
| Dreamscene4d: Dynamic multi-object scene generation from monocular videos WH Chu*, L Ke*, K Fragkiadaki arXiv preprint arXiv:2405.02280, 2024 | 4 | 2024 |
| Gaussian grouping: Segment and edit anything in 3d scenes M Ye, M Danelljan, F Yu, L Ke arXiv preprint arXiv:2312.00732, 2023 | 32 | 2023 |
| GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision L Ke, S Li, Y Sun, YW Tai, CK Tang European Conference on Computer Vision (ECCV), 2020 | 50 | 2020 |
| LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning J Wang, L Ke Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Mask Transfiner for High-Quality Instance Segmentation L Ke, M Danelljan, X Li, YW Tai, CK Tang, F Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 99 | 2022 |
| Mask-Free Video Instance Segmentation L Ke, M Danelljan, H Ding, YW Tai, CK Tang, F Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 17 | 2023 |
| Matching Anything by Segmenting Anything S Li, L Ke, M Danelljan, L Piccinelli, M Segu, L Van Gool, F Yu CVPR 2024, Highlight, 18963-18973, 2024 | | 2024 |
| Memory-attended recurrent network for video captioning W Pei, J Zhang, X Wang, L Ke, X Shen, YW Tai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 261 | 2019 |
| Monitoring environmental quality by sniffing social media Z Wang, L Ke, X Cui, Q Yin, L Liao, L Gao, Z Wang Sustainability 9 (2), 85, 2017 | 70* | 2017 |
| Occlusion-Aware Video Object Inpainting L Ke, YW Tai, CK Tang IEEE International Conference on Computer Vision (ICCV), 2021 | 32 | 2021 |
| OVTrack: Open-Vocabulary Multiple Object Tracking S Li, T Fischer, L Ke, H Ding, M Danelljan, F Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 26 | 2023 |
| Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation L Ke, X Li, M Danelljan, YW Tai, CK Tang, F Yu Advances in Neural Information Processing Systems (NeurIPS), Spotlight, 2021 | 96* | 2021 |
| Reflective Decoding Network for Image Captioning L Ke, W Pei, R Li, X Shen, YW Tai IEEE International Conference on Computer Vision (ICCV), 2019 | 108 | 2019 |
| 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 | 133 | 2023 |
| Segment anything meets point tracking F Rajič, L Ke, YW Tai, CK Tang, M Danelljan, F Yu arXiv preprint arXiv:2307.01197, 2023 | 39* | 2023 |
Yu-Wing TaiDartmouth College在 dartmouth.edu 的电子邮件经过验证
