Multi-finger grasping relies on high quality training data, which is har...
Taking photographs ”in-the-wild” is often hindered by fence obstructions...
The study of hand-object interaction requires generating viable grasp po...
Differentiable rendering is an essential operation in modern vision, all...
Tool use requires reasoning about the fit between an object's affordance...
The impressive performance of deep convolutional neural networks in
sing...
A complete representation of 3D objects requires characterizing the spac...
For humans, visual understanding is inherently generative: given a 3D sh...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
The impressive performance of deep convolutional neural networks in
sing...
We combine ideas from shock graph theory with more recent appearance-bas...
Representing 3D shape is a fundamental problem in artificial intelligenc...
Computing object skeletons in natural images is challenging, owing to la...
We introduce Appearance-MAT (AMAT), a generalization of the medial axis
...
In this paper we propose a deep learning approach for segmenting sub-cor...