Haoyi Xiu

Orcid: 0000-0002-2092-3879

According to our database1, Haoyi Xiu authored at least 19 papers between 2018 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation.
Neurocomputing, November, 2023

Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake.
Remote. Sens., April, 2023

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning.
CoRR, 2023

Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation.
CoRR, 2022

Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution.
CoRR, 2022

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding.
CoRR, 2022

2021
Point2Wave: 3-D Point Cloud to Waveform Translation Using a Conditional Generative Adversarial Network With Dual Discriminators.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning.
Sensors, 2020

Collapsed Building Detection Using 3D Point Clouds and Deep Learning.
Remote. Sens., 2020

Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud.
Proceedings of the IEEE International Symposium on Multimedia, 2019

FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning.
Proceedings of the IEEE International Symposium on Multimedia, 2019

2018
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration).
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018


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