40 citations · 126 across the 14 of their papers we have counts for
4 papers · 1 filter
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan, Kristen Grauman
Complex physical tasks entail a sequence of object interactions, each with its own preconditions -- which can be difficult for robotic agents to learn efficiently solely through th…
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
Yanghao Li, Tushar Nagarajan, Bo Xiong +1
We introduce an approach for pre-training egocentric video models using large-scale third-person video datasets. Learning from purely egocentric data is limited by low dataset scal…
Environment Predictive Coding for Embodied Agents
Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah +1
We introduce environment predictive coding, a self-supervised approach to learn environment-level representations for embodied agents. In contrast to prior work on self-supervised…