Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds

Y-Net: Learning Domain Robust Feature Representation for ground camera image and large-scale image-based point cloud registration

Spatial evolution path of Gulangyu Island historical international community: from the perspective of actor-network theory

Predicting the spread of COVID-19 in China with human mobility data

FFPointNet: Local and global fused feature for 3D point clouds analysis

A facile route of mesoporous TiO2 shell for enhanced arsenic removal

Fog radio access network optimization for 5G leveraging user mobility and traffic data

3D Ocean Water Wave Surface Analysis on Airborne LiDAR Bathymetric Point Clouds

Cooperative indoor 3D mapping and modeling using LiDAR data

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data

STPC-Net: Learn Massive Geo-Sensory Data as Spatio-Temporal Point Clouds

GCN-Based Pavement Crack Detection Using Mobile LiDAR Point Clouds

Semantic segmentation of 3D indoor LiDAR point clouds through feature pyramid architecture search

Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

A deep learning model for detection and tracking in high-throughput images of organoid

UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data

Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users

Accelerating mini-batch SARAH by step size rules

Boundary-Aware and Semiautomatic Segmentation of 3-D Object in Point Clouds

Special Issue on 3D Sensing in Intelligent Transportation

VPC-Net: Completion of 3D vehicles from MLS point clouds

FeatFlow: Learning geometric features for 3D motion estimation

PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery

Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors

Deep regression for LiDAR-based localization in dense urban areas

Mapping and Semantic Modeling of Underground Parking Lots Using a Backpack LiDAR System

OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening

Detection of Individual Trees in UAV LiDAR Point Clouds Using a Deep Learning Framework Based on Multichannel Representation

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network

Indoor 3D Human Trajectory Reconstruction Using Surveillance Camera Videos and Point Clouds

Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

A GCN-Based Method for Extracting Power Lines and Pylons From Airborne LiDAR Data

3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association

Planar Primitive Group-Based Point Cloud Registration for Autonomous Vehicle Localization in Underground Parking Lots

Ground Camera Image and Large-Scale 3-D Image-Based Point Cloud Registration Based on Learning Domain Invariant Feature Descriptors

U-Net Based Road Area Guidance for Crosswalks Detection from Remote Sensing Images

Building Instance Extraction Method Based on Improved Hybrid Task Cascade

Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge

Dense Point Cloud Completion Based on Generative Adversarial Network

GRAPHCOMM: A GRAPH NEURAL NETWORK BASED METHOD FOR MULTI-AGENT REINFORCEMENT LEARNING

Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images

CovidPass: A Contactless Check-in System for Keeping Social Distance in Public Health Crisis

DRFM Jamming Mode Identification Leveraging Deep Neural Networks

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds

Federated Learning with Fair Averaging

A LOCAL TOPOLOGICAL INFORMATION AWARE BASED DEEP LEARNING METHOD FOR GROUND FILTERING FROM AIRBORNE LIDAR DATA

METRIC LEARNING FOR 2D IMAGE PATCH AND 3D POINT CLOUD VOLUME MATCHING