Reconstructing human activity from egocentric video requires more than recovering individual 3D components: the observer's motion, surrounding geometry, and hand-object interactions must fit together
Reconstructing human activity from egocentric video requires more than recovering individual 3D components: the observer's motion, surrounding geometry, and hand-object interactions must fit together
Details from Hugging Face ↗.
EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience was first seen on Hugging Face · Daily papers on Oct 20, 2026. Since then it has appeared in 8 checks on 1 different day. Its best position was #4 of 30, reached on Oct 20, 10:35 UTC. It dropped off the list after Oct 20, 17:17 UTC.
This page has little history so far; it stays out of search results until the item has trended on two days or has more context.
Position on Hugging Face · Daily papers at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hugging Face.
Archived daily, weekly and monthly lists that include this entry.
Not at the moment. It was last on the list on Oct 20, 17:17 UTC, after 1 day of trending.
#4 on Hugging Face · Daily papers, on Oct 20, 10:35 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 20, 2026 and has been on the list on 1 day (8 checks) since.