1 citations · 1 across the 4 of their papers we have counts for
4 papers
SceneTeract: Probing and Improving Agent-Aware Activity Reasoning in 3D Indoor Scenes
Léopold Maillard, Francis Engelmann, Tom Durand +5
Indoor 3D scenes are ultimately meant to be used: an embodied agent should be able to navigate, reach objects, and complete diverse activities. Yet whether a given scene actually s…
Primitive-based 3D Human-Object Interaction Modelling and Programming
Siqi Liu, Yong-Lu Li, Zhou Fang +3
Embedding Human and Articulated Object Interaction (HAOI) in 3D is an important direction for a deeper human activity understanding. Different from previous works that use parametr…
PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments
Yang You, Kai Xiong, Zhening Yang +7
We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale benchmark designed to advance the development and evaluation of pose estimation methods in cluttered s…
Bridging the Gap between Human Motion and Action Semantics via Kinematic Phrases
Xinpeng Liu, Yong-Lu Li, Ailing Zeng +3
Motion understanding aims to establish a reliable mapping between motion and action semantics, while it is a challenging many-to-many problem. An abstract action semantic (i.e., wa…