一橋大学
ソーシャル・データサイエンス学部・研究科
グラフィックス&ビジョン研究室 (谷田川研究室)
Research List
ボタンを押すと、研究の絞り込みが行えます
出典:
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).
出典:
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).
出典:
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).
出典:
Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo, “Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation,” IEEE International Conference on Image Processing (ICIP) (2024).
出典:
Haruki Hattori, Yutaka Ohtake, Tatsuya Yatagawa, Kazutoshi Miyamoto, Masashi Hirota, “Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants,” IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) (2024).
出典:
Sreenithy Chandran, Tatsuya Yatagawa, Hiroyuki Kubo, Suren Jayasuriya, “Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification,” IEEE/CVF Winter Workshop on Applications of Computer Vision (WACV) (2024).
出典:
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).
出典:
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).
出典:
Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima, “Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising,” IEEE International Conference on Image Processing (ICIP) (2023).
出典:
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,” IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, Computer Vision for Automated Medical Diagnosis (CVAMD) (2023).
出典:
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).
出典:
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).
出典:
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).
出典:
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks,” European Conference on Computer Vision (2022).
出典:
Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima, “Light Source Selection in Primary-Sample-Space Photon Sampling,” SIGGRAPH Asia 2021 Posters (2021).
出典:
Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation,” British Machine Vision Conference (2021).
出典:
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, “Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks,” CVPR Workshop on Learning to Generate 3D Shapes and Scenes (2021).
出典:
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).
出典:
Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima, “Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending,” The Visual Computer (2020).
出典:
Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, “Real-time rendering of layered materials with anisotorpic normal distributions,” Computational Visual Media (2020).
出典:
Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, “Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights,” Computer Graphics Forum (Special Issue of Pacific Graphics 2019) (2019).
出典:
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, “FSNet: An Identity-aware Generative Model for Image-based Face Swapping,” Lecture Notes in Computer Science 11366 (Proc. of Asian Conference on Computer Vision 2018, Perth, Australia) (2018).
出典:
Tomoya Yamaguchi, Tatsuya Yatagawa, Shigeo Morishima, “Efficient Metropolis Path Sampling for Material Editing and Re-rendering,” Pacific Graphics 2018 (Short paper) (2018).
出典:
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, “RSGAN: face swapping and editing via region separation in latent spaces,” SIGGRAPH 2018 (Poster) (2018).
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, “Sparse Pixel Sampling for Appearance Edit Propagation,” The Visual Computer (Special Issue of Computer Graphics International 2015) (2015).
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, “Temporally Coherent Video Editing using an Edit Propagation Matrix,” Computers & Graphics (2014).
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, “A Template-Based Completion Framework for Videos with Dynamic Backgrounds,” Lecture Notes in Computer Science 7432 (Proc. of International Symposium of Visual Computing 2012, Crete, Greece) (2012).