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cs.CV2026
QueST: Persistent Queries as Semantic Monitors for Drift Suppression in Long-Horizon Tracking
Mayank Anand, Mohammad Saqlain, Kyan Mahajan +3
Tracking points in videos is typically formulated as frame-to-frame correspondence, where each point is matched locally to the next frame. While this works over short horizons, err…
cs.CV2024
Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting
Michael Büttner, Jonathan Francis, Helge Rhodin +1
This paper introduces a method to enhance Interactive Imitation Learning (IIL) by extracting touch interaction points and tracking object movement from video demonstrations. The ap…