Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …

Recently, transformer-based methods have dominated 3D instance segmentation, where
mask attention is commonly involved. Specifically, object queries are guided by the initial …

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 …

Abstract Neural Radiance Fields (NeRFs) have revolutionized the reconstruction of static
scenes and objects in 3D, offering unprecedented quality. However, extending NeRFs to …

Category-level articulated object pose estimation focuses on the pose estimation of
unknown articulated objects within known categories. Despite its significance, this task …

Precise perception of articulated objects is vital for empowering service robots. Recent
studies mainly focus on point cloud, a single-modal approach, often neglecting vital texture …

Robot description models are essential for simulation and control, yet their creation often
requires significant manual effort. To streamline this modeling process, we introduce …

Building interactable replicas of articulated objects is a key challenge in computer vision.
Existing methods often fail to effectively integrate information across different object states …