IEEE

Multi-PointNet++: A Multi-Scale Local Interaction Network for Plant Point Cloud Segmentation

Abstract: To address the challenges of complex structures, large organ-scale variations, and dense internal organization in plant 3D point clouds, This paper proposes Multi-PointNet++ algorithm based ...
IEEE

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective

Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...
IEEE

A Tutorial on Quantum Computing and Deep Learning with Quantum Deep Neural Networks

Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...
IEEE

Access Point Energy Minimization via MAC-Layer Optimization in IEEE 802.11ah Networks

Abstract: Energy efficiency is a critical concern in IEEE 802.11ah (Wi-Fi HaLow) networks, particularly in Internet of Things (IoT) scenarios where both stations (STAs) and the access point (AP) ...
IEEE

LSReg-Net: An End-to-End Registration Network for Large-Scale LiDAR Point Cloud in Autonomous Driving

Abstract: Large-scale point cloud registration is a fundamental problem for autonomous driving. To achieve alignment, most existing methods focus on local point cloud features for matching. However, ...
Ars Technica

Claude Code can now take over your computer to complete tasks

Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...
IEEE

DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Global Rigid Point Set Registration in Computer-Assisted Orthopedic Surgery

Abstract: This paper presents a novel robust and accurate normal-assisted learning-based rigid point set registration approach, i.e., Deep Bi-directional Hybrid Mixture Registration (DeepBHMR), where ...
IEEE

An Optimization-Based Planning Approach for Integrating Soft Open Point into Active Distribution Networks Considering Uncertainty and Voltage Sensitivity

Abstract: As the high penetration of distributed generation (DG) leads to increased voltage violations and bidirectional power flow issues in distribution networks, the optimal configuration of ...
IEEE

SCSQ-Net: A Shared Kernel Point Convolution Semantic Query Network for Weakly Supervised Classification of Multispectral LiDAR Point Clouds

Abstract: Multispectral LiDAR (MS-LiDAR) point cloud classification holds great potential, but current methods rely heavily on fully supervised learning, requiring costly manual labeling. To address ...
IEEE

PsfDeconNet: High-Resolution Seismic Imaging Using Point-Spread Function Deconvolution With Generative Adversarial Networks

Abstract: Least-squares migration (LSM) aims to seek the best-fit solution for subsurface reflectivity with high image resolution and balanced amplitudes by minimizing the mismatching between ...
IEEE

Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network

Abstract: Point clouds frequently contain noise and outliers, presenting obstacles for downstream applications. In this work, we introduce a novel denoising method for point clouds. By leveraging the ...