With the growing availability of extensive 3D datasets and the rapid progress in
computational power, deep learning (DL) has emerged as a highly promising approach for …

In point cloud analysis, point-based methods have rapidly developed in recent years. These
methods have recently focused on concise MLP structures, such as PointNeXt, which have …

It is an important aspect to fully leverage complementary sensors of images and point clouds
for objects classification and six-dimensional (6D) pose estimation tasks. Prior works extract …

The irregularity and disorder of point clouds bring many challenges to point cloud analysis.
PointMLP suggests that geometric information is not the only critical point in point cloud …

Nowadays, additive manufacturing is becoming increasingly important in various industries,
eg, automotive, aerospace, and dental. In particular, powder bed-based additive …

In this research, LiDAR sensor technology introduces a new representation of point cloud
data for tasks in 3D object recognition. Point clouds provide rich information that can be …

An important prerequisite for improving the reliability of lung cancer surveillance and clinical
interventions is accurate lung nodule segmentation. Although deep learning is effective at …

Power towers are the infrastructure for power transmission in the power grid, and to ensure
the safety of power transmission, the state of power towers needs to be inspected regularly …

The classification of 3D models consists in grouping similar objects in predefined classes.
This task is challenging and requires results that align with human perception. This paper …