Jim Rehg
Jim Rehg
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Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman et al.
,
(including lab members Miao Liu, Fiona Ryan, Wenqi Jia, Audrey Southerland, and James M. Rehg)
April 2022
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Conference paper
Publications
Related
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation
MAPLM: A Real-World Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding
PointInfinity: Resolution-Invariant Point Diffusion Models
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