| Guarantees for tuning the step size using a learning-to-learn approach X Wang, S Yuan, C Wu, R Ge International Conference on Machine Learning, 10981-10990, 2021 | 20 | 2021 |
| Cross-Attention Transformer for Video Interpolation HH Kim, S Yu, S Yuan, C Tomasi Asian Conference on Computer Vision Workshops, 320-337, 2022 | 13 | 2022 |
| Optical Flow Training under Limited Label Budget via Active Learning S Yuan, X Sun, H Kim, S Yu, C Tomasi European Conference on Computer Vision, 410-427, 2022 | 11 | 2022 |
| Mitigating Test-Time Bias for Fair Image Retrieval F Kong, S Yuan, W Hao, R Henao Neural Information Processing Systems, 71520-71539, 2023 | 7 | 2023 |
| Unsupervised Flow Refinement near Motion Boundaries S Yu, HH Kim, S Yuan, C Tomasi British Machine Vision Conference, 2022 | 7 | 2022 |
| SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving S Yuan, S Yu, H Kim, C Tomasi International Conference on Computer Vision, 9566-9577, 2023 | 5 | 2023 |
| UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation S Yuan, C Tomasi arXiv preprint arXiv:2310.04712, 2023 | 1 | 2023 |
| HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models Y Wang, S Yuan, X Jian, W Pang, M Wang, N Yu arXiv preprint arXiv:2404.05083, 2024 | | 2024 |
| Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions K Lieberman, S Yuan, SK Ravindran, C Tomasi arXiv preprint arXiv:2402.05400, 2024 | | 2024 |
| Assisting Unsupervised Optical Flow Estimation With External Information S Yuan Duke University, 2023 | | 2023 |
Carlo TomasiProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
