Satellite Video Object Detection Based on Enhanced 3DTV Regularization and Gaussian Prior.

Ms-DANet: Multiscale Difference-Aware Network for 3-D Point Cloud Change Detection.

Cross-Domain Incremental Feature Learning for ALS Point Cloud Semantic Segmentation With Few Samples.

PhaseVSRnet: Deep complex network for phase-based satellite video super-resolution.

Extraction buildings from very high-resolution images with asymmetric siamese multitask networks and adversarial edge learning.

3D Face Recognition: Two Decades of Progress and Prospects.

Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification.

Deep Semantic Graph Matching for Large-Scale Outdoor Point Cloud Registration.

Multiprototype Relational Network for Few-Shot ALS Point Cloud Semantic Segmentation by Transferring Knowledge From Photogrammetric Point Clouds.

TBSCD-Net: A Siamese Multitask Network Integrating Transformers and Boundary Regularization for Semantic Change Detection From VHR Satellite Images.

GRLoR: A Unified Global Retrieval and Local Reranking Framework for 3-D Place Recognition.

DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion.

Simulation-Based Self-Supervised Line Extraction for LiDAR Odometry in Urban Road Scenes.

AnchorPoint: Query Design for Transformer-Based 3D Object Detection and Tracking.

MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes.

Scene Overlap Prediction for LiDAR-Based Place Recognition.

PMNet: A Point-to-Mesh Network for 3-D Semantic Instance Reconstruction.

Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration.

RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery.

Contrast-Aware Color Consistency Correction for Multiple Images.

SPNet: Learning Stereo Matching With Slanted Plane Aggregation.

Contour deformation network for instance segmentation.

Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation.

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

Deep learning for 3D vision.

MaskNet++: Inlier/outlier identification for two point clouds.

Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration.

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data.

Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss.

Multispectral LiDAR Point Cloud Classification Using SE-PointNet++.

Deep Learning for 3D Point Clouds: A Survey.

Economic Feasibility Analysis of PVAC and TAC of Three Typical Application Cases in China.

Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network.

3D Object Recognition and Pose Estimation From Point Cloud Using Stably Observed Point Pair Feature.

GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification.

Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data.

Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds.

Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature.

Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data.

3-D Point Cloud Object Detection Based on Supervoxel Neighborhood With Hough Forest Framework.

Road Boundaries Detection Based on Local Normal Saliency From Mobile Laser Scanning Data.

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

Learn Multiple-Kernel SVMs for Domain Adaptation in Hyperspectral Data.