| FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning T Shinohara, H Xiu, M Matsuoka Sensors 20 (12), 3568, 2020 | 25 | 2020 |
| Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR T Shinohara, H Xiu, M Matsuoka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Automatic Label Placement of Area-Features Using Deep Learning Y Li, M Sakamoto, T Shinohara, T Satoh The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2020 | 16 | 2020 |
| Collapsed Building Detection Using 3D Point Clouds and Deep Learning H Xiu, T Shinohara, M Matsuoka, M Inoguchi, K Kawabe, K Horie Remote Sensing 12 (24), 4057, 2020 | 13 | 2020 |
| Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation H Xiu, XIN LIU, W Wang, KS Kim, T Shinohara, Q Chang, M Matsuoka Available at SSRN 4346396, 2023 | 11 | 2023 |
| DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds H Xiu, X Liu, W Wang, KS Kim, T Shinohara, Q Chang, M Matsuoka International Journal of Applied Earth Observation and Geoinformation 116 …, 2023 | 11 | 2023 |
| Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud H Xiu, T Shinohara, M Matsuoka 2019 IEEE International Symposium on Multimedia (ISM), 271-2717, 2019 | 11 | 2019 |
| Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction T Shinohara, H Xiu, M Matsuoka Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 6 | 2020 |
| Road Signs Detection and Recognition Utilizing Images and 3d Point Cloud Acquired by Mobile Mapping System YH Li, T Shinohara, T Satoha, K Tachibana International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 6 | 2016 |
| Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention H Xiu, X Liu, W Wang, KS Kim, T Shinohara, Q Chang, M Matsuoka arXiv preprint arXiv:2203.00172, 2022 | 5 | 2022 |
| FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning T Shinohara, H Xiu, M Matsuoka 2019 IEEE International Symposium on Multimedia (ISM), 259-2597, 2019 | 3 | 2019 |
| Surface displacement due to the 2014 North Nagano, Japan earthquake estimated from differential interferometry technique with ALOS-2 PALSAR-2 data F Ogushi, T Shinohara, M Matsuoka 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 3 | 2015 |
| Point2Wave: 3D Point Cloud to Waveform Translation Using a Conditional Generative Adversarial Network with Dual Discriminators T Shinohara, H Xiu, M Matsuoka IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 | 2 | 2021 |
| 3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene T Shinohara, H Xiu, M Matsuoka 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2935 …, 2021 | 2 | 2021 |
| IMAGE TO POINT CLOUD TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR AIRBORNE LIDAR DATA T Shinohara, H Xiu, M Matsuoka ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 2 | 2021 |
| Wall Stone Extraction Based on Stacked Conditional Gan and Multiscale Image Segmentation M Sakamoto, T Shinohara, Y Li, T Satoh The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2020 | 2 | 2020 |
| 深層学習 (Dilated U-net) による航空レーザデータを用いた地すべり地形自動抽出手法の検討, 第 57 回日本地すべり学会研究発表会講演集 篠原崇之， 武田大典， 下村博之， 藤平大， 櫻本智美 第 57 回日本地すべり学会研究発表会講演集, 339-240, 2018 | 2 | 2018 |
| OBJECT DETECTION FROM MMS IMAGERY USING DEEP LEARNING FOR GENERATION OF ROAD ORTHOPHOTOS. Y Li, M Sakamoto, T Shinohara, T Satoh International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018 | 2 | 2018 |
| APPLICATION OF PRE-TRAINED REAL-WORLD SUPER RESOLUTION MODELS TO OPTICAL SATELLITE IMAGE T Shinohara, R Ito, Y Kobayashi, T Satoh, Y Shimazaki, S Nakamura The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2022 | 1 | 2022 |
| Statistical analysis and modeling to examine the exterior and interior building damage pertaining to the 2016 Kumamoto earthquake H Xiu, T Shinohara, M Matsuoka, M Inoguchi, K Kawabe, K Horie Earthquake Spectra, 87552930211035408, 2021 | 1 | 2021 |
Masashi MatsuokaTokyo Institute of TechnologyDirección de correo verificada de m.titech.ac.jp