4 papers · 1 filter
SceneTeract: Agentic Functional Affordances and VLM Grounding in 3D Scenes
Léopold Maillard, Francis Engelmann, Tom Durand +5
Embodied AI depends on interactive 3D environments that support meaningful activities for diverse users, yet assessing their functional affordances remains a core challenge. We int…
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…