| Sam 2: Segment anything in images and videos N Ravi, V Gabeur, YT Hu, R Hu, C Ryali, T Ma, H Khedr, R Rädle, ... arXiv preprint arXiv:2408.00714, 2024 | 642 | 2024 |
| Videomatch: Matching based video object segmentation YT Hu, JB Huang, AG Schwing Proceedings of the European conference on computer vision (ECCV), 54-70, 2018 | 346 | 2018 |
| Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 232 | 2019 |
| Maskrnn: Instance level video object segmentation YT Hu, JB Huang, A Schwing Advances in neural information processing systems 30, 2017 | 232 | 2017 |
| Hiera: A hierarchical vision transformer without the bells-and-whistles C Ryali, YT Hu, D Bolya, C Wei, H Fan, PY Huang, V Aggarwal, ... International conference on machine learning, 29441-29454, 2023 | 160 | 2023 |
| Unsupervised video object segmentation using motion saliency-guided spatio-temporal propagation YT Hu, JB Huang, AG Schwing Proceedings of the European conference on computer vision (ECCV), 786-802, 2018 | 125 | 2018 |
| Sail-vos: Semantic amodal instance level video object segmentation-a synthetic dataset and baselines YT Hu, HS Chen, K Hui, JB Huang, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 110 | 2019 |
| Chirality nets for human pose regression R Yeh, YT Hu, A Schwing Advances in Neural Information Processing Systems 32, 2019 | 54 | 2019 |
| Sail-vos 3d: A synthetic dataset and baselines for object detection and 3d mesh reconstruction from video data YT Hu, J Wang, RA Yeh, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Proposal-based video completion YT Hu, H Wang, N Ballas, K Grauman, AG Schwing Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 36 | 2020 |
| Matching images with multiple descriptors: An unsupervised approach for locally adaptive descriptor selection YT Hu, YY Lin, HY Chen, KJ Hsu, BY Chen IEEE Transactions on Image Processing 24 (12), 5995-6010, 2015 | 31 | 2015 |
| Sam 2: Segment anything in images and videos. arXiv 2024 N Ravi, V Gabeur, YT Hu, R Hu, C Ryali, T Ma, H Khedr, R Rädle, ... arXiv preprint arXiv:2408.00714, 0 | 27 | |
| Progressive feature matching with alternate descriptor selection and correspondence enrichment YT Hu, YY Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 23 | 2016 |
| Equivariance discovery by learned parameter-sharing RA Yeh, YT Hu, M Hasegawa-Johnson, A Schwing International Conference on Artificial Intelligence and Statistics, 1527-1545, 2022 | 18 | 2022 |
| Total variation optimization layers for computer vision RA Yeh, YT Hu, Z Ren, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18 | 2022 |
| Occupancy planes for single-view rgb-d human reconstruction X Zhao, YT Hu, Z Ren, AG Schwing Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3633-3641, 2023 | 16 | 2023 |
| Sam 2: Segment anything in images and videos, 2024 N Ravi, V Gabeur, YT Hu, R Hu, C Ryali, T Ma, H Khedr, R Rädle, ... URL https://arxiv. org/abs/2408.00714 18, 0 | 13 | |
| Max-sliced Wasserstein distance and its use for gans. In 2019 IEEE I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ... CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10640-10648, 2019 | 8 | 2019 |
| & Schwing, AG (2019). Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 0 | 6 | |
| Segmentation method and segmentation apparatus J Kim, RA Yeh, AG Schwing, YT Hu US Patent 12,205,338, 2025 | 4 | 2025 |
