Learning to recognize objects in egocentric activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know o...
Publications
2 shownEgo4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of dailylife activity video spanning hundreds of scenarios (household, ou...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 980
- Institution
- Georgia Institute of Technology
External Links
Identifiers
- ORCID
- 0000-0003-1793-5462
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.