SEMBED: Semantic Embedding of Egocentric Action Videos

28 July 2016

Dima Damen

Papers citing "SEMBED: Semantic Embedding of Egocentric Action Videos"

3 / 3 papers shown

Title
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara 16 0 0 10 Oct 2022
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations Guillermo Garcia-Hernando Shanxin Yuan Seungryul Baek Tae-Kyun Kim EgoV 30 478 0 08 Apr 2017
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video Davide Moltisanti Michael Wray W. Mayol-Cuevas Dima Damen EgoV 19 31 0 27 Mar 2017