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

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

STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints

Mesh Oversegmentation with Segmentation-Aware Loss

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

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

FOREGROUND-BACKGROUND SEGMENTATION OF SEQUENTIAL 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

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

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

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

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

FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds

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

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

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