Hitotsubashi University
School of Social Data Science
Graphics and Vision Labratory

Research List

Filter research categories with following buttons.

NeMCoF: Neural Material Composition Fields for Material Decomposition in Sparse-View Spectral X-ray CT

Reference: Takumi Hotta, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki, “NeMCoF: Neural Material Composition Fields for Material Decomposition in Sparse-View Spectral X-ray CT,” Journal of Nondestructive Evaluation (2025).

Towards accelerating polarization path tracing of multi-bounce Smith microfacet BSDFs

Reference: Hidehito Ohba, Tatsuya Yatagawa, Shigeo Morishima, “Towards accelerating polarization path tracing of multi-bounce Smith microfacet BSDFs,” (2025).

Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array

Reference: Haruki Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array,” Journal of Nondestructive Evaluation (2024).

X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions

Reference: Tomoki Mori, Yutaka Ohtake, Tatsuya Yatagawa, Kazuhiro Kido, Yasunori Tsuboi, “X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions,” Journal of Nondestructive Evaluation (2024).

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks,” IEEE Transactions on Visualization and Computer Graphics (2024).

Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation

Reference: Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo, “Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation,” (2024).

Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants

Reference: Haruki Hattori, Yutaka Ohtake, Tatsuya Yatagawa, Kazutoshi Miyamoto, Masashi Hirota, “Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants,” (2024).

Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification

Reference: Sreenithy Chandran, Tatsuya Yatagawa, Hiroyuki Kubo, Suren Jayasuriya, “Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification,” (2024).

Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm

Reference: Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm,” Nondestructive Testing and Evaluation (2023).

Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform

Reference: Yuta Yamauchi, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform,” Computational Visual Media (2023).

Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising

Reference: Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima, “Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising,” (2023).

End-to-End Deep Learning for Reconstructing Segmented 3D CT Image ffrom Multi-Energy X-ray Projections

Reference: Wang Siqi, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki, Jun Hotta, “End-to-End Deep Learning for Reconstructing Segmented 3D CT Image ffrom Multi-Energy X-ray Projections,” (2023).

Degree of local symmetry for geometry-aware selective part visualisation on CT volumes

Reference: Nobumichi Yasunami, Tatsuya Yatagawa, Hiromasa Suzuki, Yutaka Ohtake, “Degree of local symmetry for geometry-aware selective part visualisation on CT volumes,” Nondestructive Testing and Evaluation (2022).

Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites

Reference: Siqi Wang, Tatsuya Yatagawa, Hiromasa Suzuki, Yutaka Ohtake, “Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites,” Journal of Nondestructive Evaluation (2022).

Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines

Reference: Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, “Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines,” Journal of Computer Graphics Techniques (2022).

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks,” (2022).

Light Source Selection in Primary-Sample-Space Photon Sampling

Reference: Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima, “Light Source Selection in Primary-Sample-Space Photon Sampling,” (2021).

Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation

Reference: Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation,” (2021).

Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks,” (2021).

LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering

Reference: Tatsuya Yatagawa, Yasushi Yamaguchi, Shigeo Morishima, “LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering,” The Visual Computer (Special Issue of Computer Graphics International 2020) (2020).