論文

• 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, Vol. 559, Nov. 2023.
• Shinki CHO, Haoyi XIU, Masashi MATSUOKA. Backscattering Characteristics of SAR Images in Damaged Buildings due to the 2016 Kumamoto Earthquake, Remote Sensing, Vol. 15, No. 8, 2181, Apr. 2023.
• Haoyi Xiu, Xin Liu, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. DS-Net: A Dedicated Approach for Collapsed Building Detection from Post-Event Airborne Point Clouds, International Journal of Applied Earth Observation and Geoinformation, Vol. 116, 103150, Feb. 2023.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. Point2Wave: 3-D Point Cloud to Waveform Translation Using a Conditional Generative Adversarial Network With Dual Discriminators, IEEE Journal of Selected Topics in Applied Earth Obsrvations and Remote Sensing, Vol. 14, pp. 11630-11642, Nov. 2021.
• Haoyi XIU, Takayuki SHINOHARA, Masashi MATSUOKA, Munenari INOGUCHI, Ken KAWABE, Kei HORIE. Statistical Analysis and Modeling to Examine the Exterior and Interior Building Damage Pertaining to the 2016 Kumamoto Earthquake, Earthquake spectra : the professional journal of the Earthquake Engineering Research Institute, Aug. 2021.
• Haoyi XIU, Takayuki SHINOHARA, Masashi MATSUOKA, Munenari INOGUCHI, Ken KAWABE, Kei HORIE. Collapsed Building Detection Using 3D Point Clouds and Deep Learning, Remote Sensing, Vol. 12, No. 24, 4057, Dec. 2020.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning, Sensors, MDPI, Vol. 20, No. 12, 3568, June 2020.

国際会議発表 (査読有り)

• Haoyi XIU, Xin LIU, Weimin WANG, Kyoung-Sook KIM, Masashi MATSUOKA. Accurate and Robust Normal Estimation for 3D PointClouds by Multi-Scale Edge Conditioning, MM'23, Proc. the 31st ACM International Conference on Multimedia, pp. 2535-254, Oct. 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, International Conference on Multimedia Modeling (MMM) 2023, Proceedings of International Conference on Multimedia Modeling (MMM) 2023, pp. 269-281, Mar. 2023.
• Haoyi Xiu, Xin Liu, Weiming Wang, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention, The 32nd British Machine Vision Conference, Nov. 2021.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. Image to Point Cloud Translation Using Conditional Generative Adversarial Network for Airborne LiDAR Data, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. V-2-2021, pp. 169-174, Aug. 2021.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. 3D Point Cloud Generation Using Adversarial Training for Large Scale Outdoor Scene, International Geoscience and Remote Sensing Symposium 2021, July 2021.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR, EarthVision, Computer Vision and Pattern Recognition (CVPR) 2021, June 2021.
• Takayuki SHINOHARA, Haoyi XIU, Masashi MATSUOKA. Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction, 28th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Proc. 28th International Conference on Advances in Geographic Information Systems, pp. 640–650, Nov. 2020.
• Haoyi XIU, Masashi MATSUOKA, Munenari INOGUCHI, Ken KAWABE, Kei HORIE. Preliminary Study on Development of LiDAR Point Cloud Dataset for Earthquake Damage Mapping by 3D Machine Learning, 17th World Conference on Earthquake Engineering, Proc. 17th World Conference on Earthquake Engineering, 9c-0009, Sept. 2020.
• Kouhei Kuwabara, Haoyi XIU, Takayuki SHINOHARA, Masashi MATSUOKA. Evaluation of Liquefaction Occurrence for Large Area: A Machine Learning Approach, 17th World Conference on Earthquake Engineering, Proc. 17th World Conference on Earthquake Engineering, 9c-0010, Sept. 2020.
• Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka. Spatial Representation Learning for Full Waveform Data Using Deep Learning, 2019 IEEE International Symposium on Multimedia, pp. 259-266, Dec. 2019.
• Haoyi Xiu, Takayuki Shinohara, Masashi Matsuoka. Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud, 2019 IEEE International Symposium on Multimedia, pp. 271-278, Dec. 2019.

国際会議発表 (査読なし・不明)

• Ami OGITA, Takayuki SHINOHARA, Haoyi XIU, Haruki OSHIO, Masashi MATSUOKA. Detection of Residential and Water Areas in Historical Topographic Maps of Japan using U-Net, The 43rd Asian Conference on Remote Sensing, Proceedings of the 43rd Asian Conference on Remote Sensing, Oct. 2022.

国内会議発表 (査読なし・不明)

• 荻田亜美, 松岡昌志, 修浩毅, 篠原崇之, 押尾晴樹. 広域的なハザードマップ基礎情報のための深層学習による旧版地図からの集落・水域の自動抽出, 第16回日本地震工学シンポジウム, Nov. 2023.
• 荻田亜美, 修浩毅, 篠原崇之, 松岡昌志. U-Netを用いた旧版地図からの水域の抽出, 地域安全学会春季研究発表会, 地域安全学会梗概集, No. 50, pp. 1-4, May 2022.
• 荻田亜美, 松岡昌志, 篠原崇之, 修浩毅. U-Netを用いた旧版地図からの市街地抽出, 地域安全学会研究発表会（秋季）, 地域安全学会梗概集, Vol. 49, pp. 39-42, Oct. 2021.

学位論文

• Spatial Roughness Learning with Neural Networks for Collapsed Building Detection Using Post-Earthquake 3D Point Clouds,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/03/26,   
• Spatial Roughness Learning with Neural Networks for Collapsed Building Detection Using Post-Earthquake 3D Point Clouds,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2023/03/26,   
• Spatial Roughness Learning with Neural Networks for Collapsed Building Detection Using Post-Earthquake 3D Point Clouds,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2023/03/26,   

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