Adaptive local adversarial attacks on 3D point clouds

Advancing safe mobility: A global analysis of research trends in safe route planning

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

DPENet: Dual-path extraction network based on CNN and transformer for accurate building and road extraction

Building and road detection from remote sensing images based on weights adaptive multi-teacher collaborative distillation using a fused knowledge

NIDALoc: Neurobiologically Inspired Deep LiDAR Localization

Active 3D Mapping Leveraging Heterogeneous Crowd Robot based-on Reinforcement Learning

Decoupled Local Aggregation for Point Cloud Learning

A lightweight building instance extraction method based on adaptive optimization of mask contour

Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey

Transformation-Equivariant 3D Object Detection for Autonomous Driving

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

FLGO: A Fully Customizable Federated Learning Platform

DeepSIR: Deep semantic iterative registration for LiDAR point clouds

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery

Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality

Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images

Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network

Virtual Sparse Convolution for Multimodal 3D Object Detection

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling

3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion

Editorial of theme issue 3D Modeling of Indoor Environments

Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation

Novel Convolutions for Semantic Segmentation of Remote Sensing Images

SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations

A Detector-Oblivious Multi-Arm Network for Keypoint Matching

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames

LCE-NET: Contour Extraction for Large-Scale 3-D Point Clouds

Spatio-temporal correlation mining method for large-scale traffic networks

Automatic Image-to-Color Point Cloud Cross-modal Registration Based on Graph Neural Networks and Iterative Reprojection

Feature Graph Convolution Network With Attentive Fusion for Large-Scale Point Clouds Semantic Segmentation

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

SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

BrGAN: Blur Resist Generative Adversarial Network With Multiple Joint Dilated Residual Convolutions for Chlorophyll Color Image Restoration

Virtual Sparse Convolution for Multimodal 3D Object Detection

Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations

Traffic Simulator: A Traffic Risk Hotspot Identification Platform

A Natural Semantic Task Understanding and Scheduling System for Crowd Robots

Crowd OS Powered Active 3D Mapping Leveraging Heterogeneous Crowd Robots

Sensing Road Obstacles After Natural Disasters: A Survey

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network