Haoyi Xiu

23 papers A* 1A 2C 3Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment.
CoRR
Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim
2025 A conf
Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs.
CIKM
Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim
2024 J jnl
Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery.
Remote. Sens.
Miguel Luis Rivera Lagahit, Xin Liu, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim, Masashi Matsuoka
2023 J jnl
Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake.
Remote. Sens.
Shinki Cho, Haoyi Xiu, Masashi Matsuoka
2023 J jnl
DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds.
Int. J. Appl. Earth Obs. Geoinformation
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023 J jnl
Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation.
Neurocomputing
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023 A* conf
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning.
ACM Multimedia
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
2023 J jnl
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning.
CoRR
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
2023 — conf
Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling.
MMM (1)
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022 J jnl
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding.
CoRR
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022 J jnl
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention.
CoRR
Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022 J jnl
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution.
CoRR
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022 J jnl
Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation.
CoRR
Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2021 C conf
3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene.
IGARSS
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2021 A conf
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention.
BMVC
Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2021 J jnl
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.
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2021 — conf
Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR.
CVPR Workshops
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2020 J jnl
Collapsed Building Detection Using 3D Point Clouds and Deep Learning.
Remote. Sens.
Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka, Munenari Inoguchi, Ken Kawabe, Kei Horie
2020 J jnl
FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning.
Sensors
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2020 — conf
Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction.
SIGSPATIAL/GIS
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2019 C conf
Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud.
ISM
Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka
2019 C conf
FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning.
ISM
Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka
2018 — conf
3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration).
SIGSPATIAL/GIS
Haoyi Xiu, Poliyapram Vinayaraj, Kyoung-Sook Kim, Ryosuke Nakamura, Wanglin Yan