General scene reconstruction refers to the task of estimating the full 3...
Robotic manipulation systems operating in complex environments rely on
p...
For over 15 years, the mlpack machine learning library has served as a "...
Deep learning-based segmentation of the liver and hepatic lesions therei...
Studies in robot teleoperation have been centered around action
specific...
Robots can effectively grasp and manipulate objects using their 3D model...
This paper aims to improve robots' versatility and adaptability by allow...
The 3D shape of a robot's end-effector plays a critical role in determin...
What's the most accurate 3D model of your face you can obtain while sitt...
A key ingredient to achieving intelligent behavior is physical understan...
Recent years have witnessed some exciting developments in the domain of
...
We present a learning based approach for multi-view stereopsis (MVS). Wh...
Semantic shape completion is a challenging problem in 3D computer vision...