1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
BootsTAP: Bootstrapped Training for Tracking-Any-Point
Carl Doersch, Pauline Luc, Yi Yang +8
To endow models with greater understanding of physics and motion, it is useful to enable them to perceive how solid surfaces move and deform in real scenes. This can be formalized…
cs.CV2023
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
Chuhan Zhang, Ankush Gupta, Andrew Zisserman
We introduce an object-aware decoder for improving the performance of spatio-temporal representations on ego-centric videos. The key idea is to enhance object-awareness during trai…