Automatic Polyp Detection in Endoscope Images Using a Hessian Filter. - Yuji Iwahori; Takayuki Shinohara; Akira Hattori; Robert J. Woodham; Shinji Fukui 001; Manas Kamal Bhuyan; Kunio Kasugai (MVA, 2013)

Surface displacement due to the 2014 North Nagano, Japan earthquake estimated from differential interferometry technique with ALOS-2 PALSAR-2 data. - Fumitaka Ogushi; Takayuki Shinohara; Masashi Matsuoka (IGARSS, 2015)

FWNetAE: Spatial Representation Learning for Full Waveform Data Using Deep Learning. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (ISM, 2019)

Dynamic-Scale Graph Convolutional Network for Semantic Segmentation of 3D Point Cloud. - Haoyi Xiu; Takayuki Shinohara; Masashi Matsuoka (ISM, 2019)

Live 6DoF Video Production with Stereo Camera. - Ayaka Nakatani; Takayuki Shinohara; Kazuhito Miyaki (SIGGRAPH Asia XR, 2019)

Semantic Segmentation for Full-Waveform LiDAR Data Using Local and Hierarchical Global Feature Extraction. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (SIGSPATIAL/GIS, 2020)

Collapsed Building Detection Using 3D Point Clouds and Deep Learning. - Haoyi Xiu; Takayuki Shinohara; Masashi Matsuoka; Munenari Inoguchi; Ken Kawabe; Kei Horie (Remote. Sens., 2020)

FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (Sensors, 2020)

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. - Haoyi Xiu; Xin Liu 020; Weiming Wang; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (BMVC, 2021)

Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (CVPR Workshops, 2021)

3D Point Cloud Generation Using Adversarial Training for Large-Scale Outdoor Scene. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (IGARSS, 2021)

Point2Wave: 3-D Point Cloud to Waveform Translation Using a Conditional Generative Adversarial Network With Dual Discriminators. - Takayuki Shinohara; Haoyi Xiu; Masashi Matsuoka (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Building CAD Model Reconstruction from Point Clouds via Instance Segmentation, Signed Distance Function, and Graph Cut. - Takayuki Shinohara; Yonghe Li; Mitsuteru Sakamoto; Toshiaki Satoh (ICCV (Workshops), 2023)

Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (MMM (1), 2023)

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (Neurocomputing, 2023)

Pre-Training of Auto-Generated Synthetic 3D Point Cloud Segmentation for Outdoor Scenes. - Takayuki Shinohara (WACV (Workshops), 2025)