There have been recent efforts to learn more meaningful representations ...
We propose Concavity-induced Distance (CID) as a novel way to measure th...
Point cloud compression (PCC) is a key enabler for various 3-D applicati...
Scene flow depicts the dynamics of a 3D scene, which is critical for var...
Topology matters. Despite the recent success of point cloud processing w...
A 3D point cloud is often synthesized from depth measurements collected ...
We propose a deep autoencoder with graph topology inference and filterin...
Recent deep networks that directly handle points in a point set, e.g.,
P...
Unlike on images, semantic learning on 3D point clouds using a deep netw...
An axiomatic approach to signal reconstruction is formulated, involving ...
In 3D image/video acquisition, different views are often captured with
v...