40 citations · 126 across the 14 of their papers we have counts for
16 papers
Detours for Navigating Instructional Videos
Kumar Ashutosh, Zihui Xue, Tushar Nagarajan +1
We introduce the video detours problem for navigating instructional videos. Given a source video and a natural language query asking to alter the how-to video's current path of exe…
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
Shuhan Tan, Tushar Nagarajan, Kristen Grauman
Recent advances in egocentric video understanding models are promising, but their heavy computational expense is a barrier for many real-world applications. To address this challen…
EgoEnv: Human-centric environment representations from egocentric video
Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai +2
First-person video highlights a camera-wearer's activities in the context of their persistent environment. However, current video understanding approaches reason over visual featur…
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…