PDConv: Rigid transformation invariant convolution for 3D point clouds

LiDAR-based localization using universal encoding and memory-aware regression (vol 128, 108685, 2022)

FEDGS: Federated Graph-based Sampling with Arbitrary Client Availability

Transformation-Equivariant 3D Object Detection for Autonomous Driving

Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces

Gemnet: Group Equivariant Mesh Convolutional Neural Network

Fedave: Adaptive Data Value Evaluation Framework for Collaborative Fairness in Federated Learning

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation

Spherical coordinate transformation-embedded deep network for primitive instance segmentation of point clouds

Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation

Road extraction in remote sensing data: A survey

LiDAR-based localization using universal encoding and memory-aware regression

WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware

EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds

Audio Signal Extraction and Enhancement Based on CNN From Laser Speckles

FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

DeepUrbanDownscale: A physics informed deep learning framework for high-resolution urban surface temperature estimation via 3D point clouds

Rapid Extraction of Urban Road Guardrails From Mobile LiDAR Point Clouds

DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation

Learning scale awareness in keypoint extraction and description

FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds

DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds

RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems

Local Fusion Attention Network for Semantic Segmentation of Building Facade Point Clouds

2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds

BLNet: Bidirectional learning network for point clouds

PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data

Semantic Segmentation of Coastal Zone on Airborne Lidar Bathymetry Point Clouds

VEHICLE COMPLETION IN TRAFFIC SCENE USING 3D LIDAR POINT CLOUD DATA

A LIDAR-BASED 3D INDOOR MAPPING FRAMEWORK WITH MISMATCH DETECTION AND OPTIMIZATION

OBJECT CLASSIFICATION IN POINT CLOUD VIA CONDITIONAL ADVERSARIAL DOMAIN ADAPTATION FOR FOREST INVENTORY

STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints

Mesh Oversegmentation with Segmentation-Aware Loss

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

QRELATION: AN AGENT RELATION-BASED APPROACH FOR MULTI-AGENT REINFORCEMENT LEARNING VALUE FUNCTION FACTORIZATION

A Multi-task Learning Framework for Semantic Segmentation in MLS Point Clouds

Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery

GoComfort: Comfortable Navigation for Autonomous Vehicles Leveraging High-Precision Road Damage Crowdsensing

CasA: A Cascade Attention Network for 3-D Object Detection From LiDAR Point Clouds

Domain Adaptation for Object Classification in Point Clouds via Asymmetrical Siamese and Conditional Adversarial Network

FOREGROUND-BACKGROUND SEGMENTATION OF SEQUENTIAL POINT CLOUDS

ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces

Wildfire Detection and Burned Area Estimation Based on Multi-source Spatial Data

iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data

Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data