Bio
Tomasi's research is at the intersection of computer vision, machine learning, and applied mathematics. Tomasi's current projects include image motion analysis (funded by NSF), satellite image interpretation (funded by IARPA), computer-assisted diagnosis, and object recognition (funded by Amazon). He is an ACM Fellow and has won the IEEE Computer Society Helmholtz Prize twice.
Positions
- Iris Einheuser Distinguished Professor
- Professor of Computer Science
- Faculty Network Member of the Duke Institute for Brain Sciences
Awards, Honors, and Distinctions
- Helmholtz Prize. IEEE Computer Society. 2013
Representative Publications
- Kim, H. H., S. Yu, S. Yuan, and C. Tomasi. “Cross-Attention Transformer for Video Interpolation.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13848 LNCS:325–42, 2023. https://doi.org/10.1007/978-3-031-27066-6_23.
- Yuan, S., S. Yu, H. Kim, and C. Tomasi. “SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving.” In Proceedings of the IEEE International Conference on Computer Vision, 9532–43, 2023. https://doi.org/10.1109/ICCV51070.2023.00877.
- Yuan, S., X. Sun, H. Kim, S. Yu, and C. Tomasi. “Optical Flow Training Under Limited Label Budget via Active Learning.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13682 LNCS:410–27, 2022. https://doi.org/10.1007/978-3-031-20047-2_24.
- Yu, S., H. H. Kim, S. Yuan, and C. Tomasi. “Unsupervised Flow Refinement near Motion Boundaries.” In Bmvc 2022 33rd British Machine Vision Conference Proceedings, 2022.
- Kim, H. H., S. Yu, and C. Tomasi. “Joint Detection of Motion Boundaries and Occlusions.” In 32nd British Machine Vision Conference Bmvc 2021, 2021.