Object proposals have become an integral pre-processing step of many vision pipelines
including object detection, weakly supervised detection, object discovery, tracking, etc …

We propose a simple yet powerful method to segment novel objects in RGB images from
their CAD models. Leveraging recent foundation models, Segment Anything and DINOv2 …

Tracking the 6D pose of objects in video sequences is important for robot manipulation. Most
prior efforts, however, often assume that the target object's CAD model, at least at a category …

As a kind of 3D data, RGB-D images have been extensively used in object tracking, 3D
reconstruction, remote sensing map**, and other tasks. In the realm of computer vision …

Reconstructing CAD construction sequences from raw 3D geometry serves as an interface
between real-world objects and digital designs. In this paper we propose CAD-Diffuser a …

Sequential manipulation tasks require a robot to perceive the state of an environment and
plan a sequence of actions leading to a desired goal state, where the ability to reason about …

Majority of the perception methods in robotics require depth information provided by RGB-D
cameras. However, standard 3D sensors fail to capture depth of transparent objects due to …

Instance-aware segmentation of unseen objects is essential for a robotic system in an
unstructured environment. Although previous works achieved encouraging results, they …

We present a framework for specifying tasks involving spatial relations between objects
using only 5-10 demonstrations and then executing such tasks given point cloud …