IEEE

Applying Machine Learning on Big Data With Apache Spark

Abstract: The exponential growth of data in the digital age has necessitated the development of frameworks capable of efficiently handling and processing vast datasets. This paper explores the ...
InfoQ

InfoQ Java Trends Report 2025

This report summarizes how the InfoQ Java editorial team and several Java Champions currently see the adoption of technology ...
IEEE

Exploring Self-Supervised Learning for 3D Point Cloud Registration

Abstract: Self-supervised learning has achieved significant success in various fields such as point cloud detection and segmentation. However, self-supervised learning for point cloud registration is ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
IEEE

Deep Learning-Based Pedestrian Detection Using RGB Images and Sparse LiDAR Point Clouds

Abstract: One of the fundamental tasks in autonomous driving is environment perception for pedestrian detection, where the fused pedestrian detection using camera and light detection and ranging ...
IEEE

A Novel Point Cloud Deep Learning Method for Predicting Variable Airfoil Flow Fields

Abstract: Airfoil flow field is of great significance to the design optimization of aircraft shape. Convolutional Neural Networks (CNNs) have been applied in flow field prediction studies, which ...
IEEE

A Simple Framework of Few-Shot Learning Using Sparse Annotations for Semantic Segmentation of 3-D Point Clouds

Abstract: The semantic segmentation of point clouds plays a crucial role in the interpretation of 3-D scene. However, the majority of supervised learning methods needs a great number of annotated data ...
IEEE

LLM-Guided Cross-Modal Point Cloud Quality Assessment: A Graph Learning Approach

Abstract: This paper addresses the critical need for accurate and reliable point cloud quality assessment (PCQA) in various applications, such as autonomous driving, robotics, virtual reality, and 3D ...
IEEE

Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration

Abstract: Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This letter concentrates on pose graph construction and motion synchronization ...
IEEE

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration

Abstract: Accurately estimating 3-D rigid body transformation is a critical step for correspondences-free point cloud registration method. However, recently proposed methods have faced challenges in ...
IEEE

PointOBB: Learning Oriented Object Detection via Single Point Supervision

Abstract: Single point-supervised object detection is gaining attention due to its cost-effectiveness. However, existing approaches focus on generating horizontal bounding boxes (HBBs) while ignoring ...