Haoyi Xiu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Feature Representations

Top Venues

Publications

Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. CoRR (2023)
Shinki Cho, Haoyi Xiu, Masashi Matsuoka
Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake. Remote. Sens. 15 (8) (2023)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. ACM Multimedia (2023)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds. Int. J. Appl. Earth Obs. Geoinformation 116 (2023)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling. MMM (1) (2023)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation. Neurocomputing 559 (2023)
Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. CoRR (2022)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. CoRR (2022)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. CoRR (2022)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation. CoRR (2022)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
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. 14 (2021)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR. CVPR Workshops (2021)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene. IGARSS (2021)
Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. BMVC (2021)
Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka, Munenari Inoguchi, Ken Kawabe, Kei Horie
Collapsed Building Detection Using 3D Point Clouds and Deep Learning. Remote. Sens. 12 (24) (2020)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction. SIGSPATIAL/GIS (2020)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning. Sensors 20 (12) (2020)
Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka
Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud. ISM (2019)
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning. ISM (2019)
Haoyi Xiu, Poliyapram Vinayaraj, Kyoung-Sook Kim, Ryosuke Nakamura, Wanglin Yan
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration). SIGSPATIAL/GIS (2018)