Abstract: Ensuring precise segmentation of point clouds is essential for intelligent inspection in transmission line corridors. The massive scale, unordered distribution, and complex structures of ...
Abstract: Recently, point cloud processing is becoming popular in AI-driven areas as 3D scanners are developing rapidly. However, this kind of data can have a massive file size, causing significant ...
Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
Abstract: Point cloud quality assessment (PCQA) is a challenging task due to the inherently disordered nature of points. Existing point-based methods, such as sparse convolution and PointNet, are ...
Abstract: Point cloud processing methods exploit local point features and global context through aggregation which does not explicitly model the internal correlations between local and global features ...
This project uses Apache Maven to build. You will need a JDK Java 21 or later) and Maven 3.6 or later installed to build. $ mvn package This should build a platform ...
The aggregation of host defense peptides is directly linked to their membranolytic properties. A well-known example is the hLL-37 17–29 peptide, where aggregation induces cell lysis. Mutations at the ...