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篠原崇之 研究業績一覧 (31件)
論文
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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.
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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.
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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.
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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.
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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.
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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.
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篠原崇之,
松岡昌志,
リュウ・ウェン,
山崎文雄.
光学衛星画像を用いた混合スペクトル解析に基づく浸水度の定量推定とSAR画像を組み合わせた東北地方太平洋沖地震津波への適用,
日本地震工学会論文集,
Vol. 16,
No. 3(特集号),
pp. 157-168,
Mar. 2016.
国際会議発表 (査読有り)
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
国際会議発表 (査読なし・不明)
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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.
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Fumitaka OGUSHI,
Takayuki SHINOHARA,
Masashi MATSUOKA.
Surface Displacement due to the 2014 North Nagano, Japan Earthquake Estimated from Differential Interferometry Technique with ALOS-2 PALSAR-2 Data,
International Geoscience and Remote Sensing Symposium 2015,
Proc. International Geoscience and Remote Sensing Symposium 2015,
IEEE,
pp. 3532-3535,
July 2015.
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Takayuki SHINOHARA,
Wen LIU,
Masashi MATSUOKA.
Spectral Mixture Analysis for Typhoon-Induced Inundation Mapping in Negros and Cebu Islands, the Philippines,
International Symposium on Remote Sensing 2014,
Proc.International Symposium on Remote Sensing 2014,
B08-3,
Apr. 2014.
国内会議発表 (査読なし・不明)
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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.
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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.
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八嶋恵一朗,
篠原崇之,
押尾晴樹,
松岡昌志.
PIX2PIXを用いた沿岸域におけるDSMからDTMを生成する試み,
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. 45-48,
May 2022.
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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.
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篠原崇之,
松岡昌志,
リュウ ウェン,
山崎文雄.
光学衛星画像を用いた混合スペクトル解析に基づく浸水度の定量推定とSAR画像を組み合わせた東北地方太平洋沖地震津波への適用,
第14回日本地震工学シンポジウム論文集,
pp. 2503-2512,
Dec. 2014.
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河野洋行,
篠原崇之,
松岡昌志.
2014年広島土砂災害における空撮写真を用いた地形モデルの作成とLiDARデータとの比較,
地域安全学会梗概集,
No. 35,
pp. 69-70,
Nov. 2014.
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篠原崇之,
松岡昌志,
リュウ ウェン.
2011年東北地方太平洋沖地震の津波被害域における水占有率と後方散乱係数の関係,
地域安全学会梗概集,
No. 35,
pp. 29-30,
Nov. 2014.
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篠原崇之,
リュウ ウェン,
松岡昌志.
RISAT-1/SARとLandsat/ETM+を用いた台風Haiyanによる浸水域の抽出,
日本リモートセンシング学会第56回学術講演会論文集,
pp. 23-26,
May 2014.
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篠原崇之,
リュウ ウェン,
松岡昌志.
JERS-1/SAR画像による1994年ノースリッジ地震の地盤変位の検出,
日本リモートセンシング学会第55回学術講演会論文集,
pp. 137-138,
Nov. 2013.
学位論文
-
点群および波形情報を有するライダーデータを用いた地物分類手法の提案と点群のみのデータへの活用に関する研究,
論文要旨,
博士(工学),
東京工業大学,
2022/03/26,
-
点群および波形情報を有するライダーデータを用いた地物分類手法の提案と点群のみのデータへの活用に関する研究,
本文,
博士(工学),
東京工業大学,
2022/03/26,
-
点群および波形情報を有するライダーデータを用いた地物分類手法の提案と点群のみのデータへの活用に関する研究,
審査の要旨,
博士(工学),
東京工業大学,
2022/03/26,
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