Research · 2025
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos
A scalable vision system for reconstructing table-tennis matches from monocular video and training an uncertainty-aware controller to anticipate an opponent's actions.
- Authors
- Daniel Etaat, Dvij Kalaria, Nima Rahmanian, and Shankar Sastry
- Venue
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025