Point cloud upsampling algorithms can improve the resolution of point clouds and generate
dense and uniform point clouds, and are an important image processing technology …

In this paper, we propose TP-NoDe, a novel Topology-aware Progressive Noising and
Denoising technique for 3D point cloud upsampling. TP-NoDe revisits the traditional method …

With the wide application of computational fluid dynamics in various fields and the
continuous growth of the complexity of the problem and the scale of the computational grid …

China is the largest producer and consumer of rice, and the classification of filled/unfilled
rice grains is of great significance for rice breeding and genetic analysis. The traditional …

As the concept of green building is increasingly promoted worldwide, the use of green
building materials has also attracted great attention. In order to improve the utilization rate of …

Multimodal 3D object detection has gained significant attention due to the fusion of light
detection and range (LiDAR) and RGB data. Existing 3D detection models in autonomous …

Recently, extensive research efforts have been dedicated to view-based 3D object retrieval,
owing to its advantage of using a set of 2D images to represent 3D objects. Some existing …

Point cloud data now are popular data representations in a number of three-dimensional
(3D) vision research realms. However, due to the limited performance of sensors and …

摘要针对直接处理点云数据的深度神经网络PointNet++ 无法充分学习点云形状信息的问题,
提出一种融合空间感知模块和特征增强模块(spatial awareness and feature enhancement …

This paper introduces an aircraft wing simulation data set (AWSD) created by an automatic
workflow based on creating models, meshing, simulating the wing flight flow field solution …