SSRFlow: Semantic-aware Fusion with Spatial Temporal Re-embedding for Real-world Scene Flow

Domain adaptive remote sensing image semantic segmentation with prototype guidance

Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds

STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flow

GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow

A Survey of Point Cloud Completion

Multilevel Interactive Enhanced Network for Infrared Small-Target Detection

SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving

Adaptive local adversarial attacks on 3D point clouds

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

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

Novel Convolutions for Semantic Segmentation of Remote Sensing Images

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

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

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

GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow

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

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

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

Learning scale awareness in keypoint extraction and description

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

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

FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds

STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints

Learning Cross-Domain Features for Domain Generalization on Point Clouds

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

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

GCN-Based Pavement Crack Detection Using Mobile LiDAR Point Clouds

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

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

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

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

Dense Point Cloud Completion Based on Generative Adversarial Network

Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints

Urban traffic flow prediction algorithm based on graph convolutional neural networks

Ship detection using a fully convolutional network with compact polarimetric SAR images

IDrug: Pediatric drug interaction modeling and risk evaluation leveraging prescription big data

Automated visibility field evaluation of traffic sign based on 3D lidar point clouds

Deep lidar odometry

Lo-net: Deep real-time lidar odometry

RF-net: An end-to-end image matching network based on receptive field

SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data

A modified framework for ship detection from compact polarization SAR image

3-D Road Boundary Extraction from Mobile Laser Scanning Data via Supervoxels and Graph Cuts

NormalNet: A voxel-based CNN for 3D object classification and retrieval

Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game

Tree Classification in Complex Forest Point Clouds Based on Deep Learning

Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds

Extraction and Classification of Road Markings Using Mobile Laser Scanning Point Clouds

Solar Potential Analysis Method Using Terrestrial Laser Scanning Point Clouds

A feature-based mutual information and wavelet method for image fusion

Road network extraction via deep learning and line integral convolution

Superpixel-based coastline extraction in SAR images with speckle noise removal

Automated object extraction from MLS data: A survey

Automatic shape-based target extraction for close-range photogrammetry

Rapid inspection of pavement markings using mobile lidar point clouds

A line segment based registration method for Terrestrial Laser Scanning point cloud data

Automatic target extraction in complicated background for camera calibration

Combinative hypergraph learning on oil spill training dataset

Deep neural networks-based vehicle detection in satellite images

Turning mobile laser scanning points into 2D/3D on-road object models: Current status

Local quality assessment of point clouds for indoor mobile mapping

Single-image super-resolution in RGB space via group sparse representation

Combinative hypergraph learning for semi-supervised image classification

Robust vehicle detection by combining deep features with exemplar classification

Big data analytics and visualization with spatio-temporal correlations for traffic accidents

Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest

Hepatic blood flow distribution and remnant liver volume estimation

Sparse Representation Based Pansharpening Using Trained Dictionary

Triple-surface structure extraction and fitting for control point positioning in LiDAR point clouds

Adaptive fast marching method for automatic liver segmentation from CT images

Automatic liver segmentation from CT images using adaptive fast marching method

A NOVEL OBJECT of INTEREST EXTRACTION METHOD for MOBILE MAPPING SYSTEMS

Preoperative planning for liver surgery based on CT images

Atypical and anatomical resection for virtual liver surgery

A Marked Point Process for Automated Tree Detection from Mobile Laser Scanning Point Cloud Data

Computer-aided Preoperative Planning for liver Surgery based on CT Images

Anisotropic 3-D distance transform based on contour propagation

The use of a projection method to simplify portal and hepatic vein segmentation in liver anatomy

A fast method to segment the liver according to Couinaud's classification

A common framework for generating liver tetrahedral FEM models from CT slices

Image registration and data fusion for different phases of contrast enhanced liver CT data

Extraction of tenuous vasculature in medical images

A simplified method to segment liver according to Couinaud's classification

Stimulation frequency extraction in SSVEP-based brain-computer interface