Hanyun Wang

Orcid: 0000-0002-8320-4230

According to our database1, Hanyun Wang authored at least 44 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
3D Face Recognition: Two Decades of Progress and Prospects.
ACM Comput. Surv., March, 2024

Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

Deep Semantic Graph Matching for Large-Scale Outdoor Point Cloud Registration.
IEEE Trans. Geosci. Remote. Sens., 2024

Multiprototype Relational Network for Few-Shot ALS Point Cloud Semantic Segmentation by Transferring Knowledge From Photogrammetric Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Simulation-Based Self-Supervised Line Extraction for LiDAR Odometry in Urban Road Scenes.
Remote. Sens., November, 2023

AnchorPoint: Query Design for Transformer-Based 3D Object Detection and Tracking.
IEEE Trans. Intell. Transp. Syst., October, 2023

MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Scene Overlap Prediction for LiDAR-Based Place Recognition.
IEEE Geosci. Remote. Sens. Lett., 2023

PMNet: A Point-to-Mesh Network for 3-D Semantic Instance Reconstruction.
IEEE Geosci. Remote. Sens. Lett., 2023

Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration.
CoRR, 2023

OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Sparse Representation based Deep Residual Geometry Compression Network for Large-scale Point Clouds.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery.
IEEE Trans. Intell. Transp. Syst., 2022

Contrast-Aware Color Consistency Correction for Multiple Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

SPNet: Learning Stereo Matching With Slanted Plane Aggregation.
IEEE Robotics Autom. Lett., 2022

Contour deformation network for instance segmentation.
Pattern Recognit. Lett., 2022

Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

Domain Adaptation for Object Classification in Point Clouds via Asymmetrical Siamese and Conditional Adversarial Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep learning for 3D vision.
IET Comput. Vis., 2022

MaskNet++: Inlier/outlier identification for two point clouds.
Comput. Graph., 2022

Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration.
Int. J. Appl. Earth Obs. Geoinformation, 2022

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2022

The First Challenge on Moving Object Detection and Tracking in Satellite Videos: Methods and Results.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

3DAC: Learning Attribute Compression for Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss.
IEEE Signal Process. Lett., 2021

Multispectral LiDAR Point Cloud Classification Using SE-PointNet++.
Remote. Sens., 2021

Deep Learning for 3D Point Clouds: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Economic Feasibility Analysis of PVAC and TAC of Three Typical Application Cases in China.
Complex., 2021

Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
3D Object Recognition and Pose Estimation From Point Cloud Using Stably Observed Point Pair Feature.
IEEE Access, 2020

GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification.
IEEE Access, 2020

2017
Parameter Estimation and Imaging for Moving Targets in Airborne SAR with Single Antenna.
Proceedings of the Communications, Signal Processing, and Systems, 2017

2016
Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data.
IEEE Trans. Intell. Transp. Syst., 2016

Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2016

Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature.
IEEE Trans. Intell. Transp. Syst., 2016

Exploiting location information to detect light pole in mobile LiDAR point clouds.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2015

3-D Point Cloud Object Detection Based on Supervoxel Neighborhood With Hough Forest Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Road Boundaries Detection Based on Local Normal Saliency From Mobile Laser Scanning Data.
IEEE Geosci. Remote. Sens. Lett., 2015

2014
Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest.
IEEE Geosci. Remote. Sens. Lett., 2014

Extracting road surface from mobile laser scanning point clouds in large scale urban environment.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Triple-Surface Structure Extraction and Fitting for Control Point Positioning in LiDAR Point Clouds.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

2013
Learn Multiple-Kernel SVMs for Domain Adaptation in Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett., 2013


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