In this paper, we propose new techniques for solving geometric optimizat...
We propose a method to estimate 3D human poses from substantially blurre...
With the rapid development of classical and quantum machine learning, a ...
Point cloud semantic segmentation has attracted attentions due to its
ro...
Given a set P of n points that are moving in the plane, we consider the
...
Multi-scenario learning (MSL) enables a service provider to cater for us...
Projecting the point cloud on the 2D spherical range image transforms th...
Nowadays, Light Detection And Ranging (LiDAR) has been widely used in
au...
Given a set P of n points in the plane, a unit-disk graph G_r(P) with
re...
Estimating homography to align image pairs captured by different sensors...
LiDAR depth completion is a task that predicts depth values for every pi...
We consider the problem of computing the diameter of a unicycle graph (i...
Visual attention learning (VAL) aims to produce a confidence map as weig...
Let P be a path graph of n vertices embedded in a metric space. We
consi...
Convolutional neural networks (CNNs) have been widely deployed in the fi...