Natural language processing and 2D vision models have attained remarkable proficiency on
many tasks primarily by escalating the scale of training data. However, 3D vision tasks have …

Recent advances in modeling 3D objects mostly rely on synthetic datasets due to the lack of
large-scale real-scanned 3D databases. To facilitate the development of 3D perception …

For years, researchers have been devoted to generalizable object perception and
manipulation, where cross-category generalizability is highly desired yet underexplored. In …

Fine-grained capture of 3D Human-Object Interactions (HOIs) boosts human activity
understanding and facilitates various downstream visual tasks. Prior models mostly assume …

We address the task of simultaneous part-level reconstruction and motion parameter
estimation for articulated objects. Given two sets of multi-view images of an object in two …

We present CARTO, a novel approach for reconstructing multiple articulated objects from a
single stereo RGB observation. We use implicit object-centric representations and learn a …

Grounding 3D object affordance seeks to locate objects'" action possibilities" regions in the
3D space, which serves as a link between perception and operation for embodied agents …

Tactile sensing is one of the modalities human rely on heavily to perceive the world. Working
with vision, this modality refines local geometry structure, measures deformation at contact …

We address the challenge of generating 3D articulated objects in a controllable fashion.
Currently modeling articulated 3D objects is either achieved through laborious manual …

Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-
centric perception, facilitating applications like AR/VR and embodied AI. For the egocentric …