Hello, my name is Tatsuya Yatagawa. I am currently working as an associate professor at School of Social Data Science, Hitotsubashi University. Until now, I have been working on image/video processing, real-time rendering, geometry processing and deep learning techniques related for them. My current research interest centers on computational techniques to improve real-world scanning and its rendering in virtual worlds.
Now, the School of Social Data Science, Hitotsubashi University, which I belongs to, is recruiting both the undergraduate and post-graduate students. You can find the details for the admission from the official webpage (https://www.sds.hit-u.ac.jp/).
If you wish to join our faculty and are interested in my research, please feel free to contact me with the contact form. If you wish to enter the graduate school and to join my laboratory, please contact me in advance to have a brief meeting about your research interest before you take an admission exam.
| 1. | 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.
(Refereed) |
| 2. | Yingqi Tan,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Feature shape inspection of metal parts by matching X-ray projection images with CAD model projections”,
Precision Engineering,
Vol. 81,
pp. 221-231,
2023.
(Refereed)
|
| 3. | 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,
Vol. 9,
pp. 319-333,
2023.
(Refereed)
|
| 4. | 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,
pp. 1-13,
2022.
(Refereed)
|
| 5. | 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,
Vol. 41,
No. 45,
2022.
(Refereed)
|
| 6. | Takahiro Kuge,
Tatsuya Yatagawa,
Shigeo Morishima,
“Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines”,
Journal of Computer Graphics Techniques,
Vol. 10,
No. 4,
pp. 1-16,
2022.
(Refereed)
|
| 7. | Yifan Yang,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Hierarchical alignment of 3D print with tool path based on microstructure”,
Virtual and Physical Prototyping,
Vol. 17,
No. 1,
pp. 33-51,
2021.
(Refereed)
|
| 8. | 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),
Vol. 36,
No. 10,
pp. 1979-1992,
2020.
(Refereed)
|
| 9. | Tatsuya Yatagawa,
Hideki Todo,
Yasushi Yamaguchi,
Shigeo Morishima,
“Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending”,
The Visual Computer,
Vol. 36,
No. 3,
pp. 541-558,
2020.
(Refereed)
|
| 10. | Tomoya Yamaguchi,
Tatsuya Yatagawa,
Yusuke Tokuyoshi,
Shigeo Morishima,
“Real-time rendering of layered materials with anisotorpic normal distributions”,
Computational Visual Media,
Vol. 6,
pp. 29-36,
2020.
(Refereed)
|
| 11. | 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),
Vol. 38,
No. 7,
pp. 449-460,
2019.
(Refereed)
|
| 12. | Hideki Todo,
Tatsuya Yatagawa,
Masataka Sawayama,
Yoshinori Dobashi,
Masanori Kakimoto ,
“Image-based translucency transfer through correlation analysis over multi-scale spatial color distribution”,
The Visual Computer (Special Issue of Computer Graphics International 2019),
Vol. 35,
No. 6-8,
pp. 811-822,
2019.
(Refereed) |
| 13. | Tatsuya Yatagawa,
Yasushi Yamaguchi,
“Sparse Pixel Sampling for Appearance Edit Propagation”,
The Visual Computer (Special Issue of Computer Graphics International 2015),
Vol. 31,
No. 6,
pp. 1101-1111,
2015.
(Refereed)
|
| 14. | Tatsuya Yatagawa,
Yasushi Yamaguchi,
“Temporally Coherent Video Editing using an Edit Propagation Matrix”,
Computers & Graphics,
Vol. 43,
pp. 1-10,
2014.
(Refereed)
|
| 15. | Yuichi Masuda,
Masashi Fukuchi,
Tatsuya Yatagawa,
Masato Tada,
Kazuyuki Takeda,
Kazuhiro Irie,
Ken-ichi Akagi,
Youko Monobe,
Takayoshi Imazawa,
Kiyonori Takegoshi,
“Solid-state NMR analysis of interaction sites of curcumin and 42-residue amyloid β-protain fibrils”,
Bioorganic & Medical Chemistry,
Vol. 19,
pp. 5967-5974,
2011.
(Refereed) |
| 1. | 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),
Kuala Lumpur, Malaysia,
2023.
(Refereed, Poster Presentation)
|
| 2. | 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),
Paris, France,
2023.
(Refereed, Poster Presentation)
|
| 3. | Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
Satoru Kubo,
Sou Suzuki,
“Thickness-Driven Sheet Metal Segmentation of CT-Scanned Body-in-White”,
12th International Conference on Industrial Computed Tomography (iCT),
Fürth, Germany,
2023.
(Refereed, Oral Presentation)
|
| 4. | Haruki Hattori,
Tatsuya Yatagawa,
Yutaka Ohtake,
Hiromasa Suzuki,
“X-Ray Scatter Correction by Deep Semi-supervised Learning of Simulated Projections with Beam-hole Array”,
12th International Conference on Industrial Computed Tomography (iCT),
Fürth, Germany,
2023.
(Refereed, Oral Presentation)
|
| 5. | Shota Hattori,
Tatsuya Yatagawa,
Yutaka Ohtake,
Hiromasa Suzuki,
“Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks”,
European Conference on Computer Vision,
Tel Aviv, Israel,
2022.
(Refereed, Poster Presentation)
|
| 6. | Taro Watanabe,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
S. Sasaki,
M. Kon,
“Improvement of Height Map Reconstruction for White Light Interferometry Measurement by using Centroid Method with Convolutional Neural Network”,
International Conference on Precision Engineering,
Nara, Japan,
2022.
(Refereed, Oral Presentation) |
| 7. | Siqi Wang,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Voxel by voxel reconstruction of 3D CT images by FDK-approximated neural network model”,
International Conference on Precision Engineering,
Nara, Japan,
2022.
(Refereed, Oral Presentation) |
| 8. | Hayato Takahashi,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
K. Akai,
H. Wada,
R. Deguchi,
H. Matsuura,
“An effective part segmentation method for large volume assembly CT data”,
International Conference on Precision Engineering,
Nara, Japan,
2022.
(Refereed, Oral Presentation) |
| 9. | Yunyu Ji,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
Y. Eda,
Y. Tsumura,
S. Takanezawa,
“Point Cloud Template Matching for Inspection of Engineering Products”,
International Conference on Precision Engineering,
Nara, Japan,
2022.
(Refereed, Oral Presentation) |
| 10. | Yingqi Tan,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Matching of CAD model projections and X-ray projection images for shape inspection of metal assemblies”,
11th International Conference on Industrial Computed Tomography (iCT),
Wels, Austria,
2022.
(Refereed, Oral Presentation)
|
| 11. | Yuta Tsuji,
Tatsuya Yatagawa,
Shigeo Morishima,
“Light Source Selection in Primary-Sample-Space Photon Sampling”,
SIGGRAPH Asia 2021 Posters,
Tokyo,
2021.
(Refereed, Poster Presentation)
|
| 12. | Kiichi Itoh,
Tatsuya Yatagawa,
Yutaka Ohtake,
Hiromasa Suzuki,
“Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation”,
British Machine Vision Conference,
Virtual,
2021.
(Refereed, Poster Presentation)
|
| 13. | 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,
Virtual,
2021.
(Refereed, Oral presentation)
|
| 14. | Junhyuk Lee,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Gap Generation for 3D Printed Assembly by Using Signed Distance Fields”,
International Conference on Precision Engineering,
Virtual,
2020.
(Refereed, Oral presentation) |
| 15. | Yu Shimada,
Yutaka Ohtake,
Tatsuya Yatagawa,
Hiromasa Suzuki,
“Curvature Estimation on Triangle Meshes Using a Dual-graph Neural Network”,
International Conference on Precision Engineering,
Virtual,
2020.
(Refereed, Oral presentation) |
| 16. | Yifan Yang,
Yutaka Ohtake,
Hiromasa Suzuki,
Tatsuya Yatagawa,
“Shape Enhancement Based on 3D Print Preview for Preserving Semantic Shape Details on 3D Printed Surface”,
International Conference on Precision Engineering,
Virtual,
2020.
(Refereed, Oral presentation) |
| 17. | Reon Matsui,
Yutaka Ohtake,
Hiromasa Suzuki,
Tatsuya Yatagawa,
Jun Hotta,
“Automatic Generation of Implicit Surface Model from 3D-scanned Data of Plastic Bottles”,
International Conference on Precision Engineering,
Virtual,
2020.
(Refereed, Oral presentation) |
| 18. | Ting-Hao Li,
Hiromasa Suzuki,
Yutaka Ohtake,
Tatsuya Yatagawa,
Shoji Matsuda,
“AR-Based Assembly Assistance System with Efficient Evaluation of Misalignment Between Virtual and Real Objects”,
Advances in Intelligent Systems and Computing (Proc. of International Conference on Applied Human Factors and Ergonomics 2020),
Virtual Conference,
2020.
(Refereed, Oral presentation) |
| 19. | Tomoya Yamaguchi,
Tatsuya Yatagawa,
Yusuke Tokuyoshi,
Shigeo Morishima,
“Real-time Rendering of Layered Materials with Anisotropic Normal Distributions”,
SIGGRAPH Asia 2019, Technical Brief,
Brisbane, Australia,
2019.
(Refereed, Oral presentation)
|
| 20. | 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),
Perth, Australia,
2018.
(Refereed, Poster presentation)
|
| 21. | Tomoya Yamaguchi,
Tatsuya Yatagawa,
Shigeo Morishima,
“Efficient Metropolis Path Sampling for Material Editing and Re-rendering”,
Pacific Graphics 2018 (Short paper),
Hong Kong, China,
2018.
(Refereed, Oral presentation)
|
| 22. | Ryota Natsume,
Tatsuya Yatagawa,
Shigeo Morishima,
“RSGAN: face swapping and editing via region separation in latent spaces”,
SIGGRAPH 2018 (Poster),
Vancouver, Canada,
2018.
(Refereed, Poster presentation) |
| 23. | 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),
Crete, Greece,
2012.
(Refereed, Oral presentation) |
