GitHub

Java SE Tutorial Bundle

This is the tutorial bundle from Oracle Java SE tutorial homepage, last updated at 2021-2-10. The only modification is that I added this readme file. Publishing this repo as the download process from ...
IEEE

A Geometry Feature Aggregation Method for Point Cloud Classification and Segmentation

Abstract: In spite of the good performance of convolutional neural network (CNN) and graph neural network (GNN) in 3D point cloud classification and segmentation at present, to aggregate local ...
GitHub

Android Studio Tutorials: Java Edition

Learn how to make simple apps in Android Studio. Android Studio Tutorials: Java Edition provides practical examples and complete source code to help you build your first Android application using ...
IEEE

Cross-Modality Feature Aggregation for Cross-Domain Point Cloud Representation Learning

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 ...
IEEE

Dual-Neighborhood Feature Aggregation Network for Point Cloud Semantic Segmentation

Abstract: Neighborhood construction plays a key role in point cloud processing. However, existing models only use a single neighborhood construction method to extract neighborhood features, which ...
IEEE

DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation

Abstract: The point cloud feature aggregation, which learns discriminative features from the disordered points, plays a key role for large-scale point cloud semantic segmentation. Most previous ...
IEEE

Full Point Encoding for Local Feature Aggregation in 3-D Point Clouds

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 ...
IEEE

Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

Abstract: Uncertainty-aware semantic segmentation of the point clouds includes predictive uncertainty estimation and uncertainty-guided model optimization. One key challenge in the task is the ...
C&EN

Effect of Point Mutations on the Aggregation Tendency of the Antimicrobial Fragment Peptide hLL-37

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 ...