| 1. |
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks (Peer-reviewed) Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
IEEE Transactions on Visualization and Computer Graphics 2025.2
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| 2. |
Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform (Peer-reviewed) Yuta Yamauchi, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Computational Visual Media Vol.9,No.2,pp.319-333 2023.1
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| 3. |
Learning Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks (Peer-reviewed) Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Lecture Notes in Computer Science pp.363-379 2022.11
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| 4. |
Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines (Peer-reviewed) Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima
Journal of Computer Graphics Techniques Vol.11,No.1,pp.1-16 2022.2 |
| 5. |
LinSSS: linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering (Peer-reviewed) Yatagawa, T., Yamaguchi, Y., Morishima, S.
Visual Computer Vol.36,No.10-12,pp.1979-1992 2020.10
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| 6. |
Real-time rendering of layered materials with anisotropic normal distributions (Peer-reviewed) Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima
Computational Visual Media Vol.6,No.1,pp.29-36 2020.1
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| 7. |
Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights (Peer-reviewed) Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima
Computer Graphics Forum Vol.38,No.7,pp.449-460 2019.10
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| 8. |
FSNet: An Identity-Aware Generative Model for Image-Based Face Swapping (Peer-reviewed) Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
Computer Vision – ACCV 2018 pp.117-132 2019.5
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| 9. |
Data compression for measured heterogeneous subsurface scattering via scattering profile blending
Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima
The Visual Computer Vol.36,No.3,pp.541-558 2019.2
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| 10. |
RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
arXiv preprint arXiv:1804.03447 2018.4
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| 11. |
Sparse pixel sampling for appearance edit propagation (Peer-reviewed) Tatsuya Yatagawa, Yasushi Yamaguchi
The Visual Computer Vol.31,No.6-8,pp.1101-1111 2015.6
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| 12. |
Temporally coherent video editing using an edit propagation matrix (Peer-reviewed) Tatsuya Yatagawa, Yasushi Yamaguchi
Computers & Graphics Vol.43,pp.1-10 2014.10
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| 13. |
Attention-guided reference point shifting for Gaussian-mixture-based partial point set registration.
Mizuki Kikkawa, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
CoRR Vol.abs/2512.02496 2025.12
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| 14. |
NeMCoF: Neural Material Composition Fields for Material Decomposition in Sparse-View Spectral X-ray CT
Takumi Hotta, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki
JOURNAL OF NONDESTRUCTIVE EVALUATION Vol.44,No.4 2025.9
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| 15. |
Sparse-view Material Decomposition for Spectral X-ray CT using Neural Radiance Fields
Takumi Hotta, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki
e-Journal of Nondestructive Testing 2025.2
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| 16. |
HR-IDF: Hessian-Regularized Implicit Displacement Fields for high precision industrial assembly representation.
Linxu Guo, Yutaka Ohtake, Tatsuya Yatagawa, Tetsuya Shimmyo, Shoichiro Hosomi, Kazutoshi Miyamoto
Comput. Graph. Vol.133,pp.104442 2025
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| 17. |
A simulation study towards sparse-view spectral X-ray CT segmentation using spectrum-aware deep neural networks
Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake
Nondestructive Testing and Evaluation 2024.10
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| 18. |
Spectral X-ray computed tomography image denoising using weighted local regression and noise-insensitive feature dimensionality reduction (Peer-reviewed) T. Hotta, T. Yatagawa, Y. Ohtake, M. Matsukawa, H. Suzuki, T. Aoki
Journal of Instrumentation Vol.19 2024.9
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| 19. |
Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array (Peer-reviewed) Haruki Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Journal of Nondestructive Evaluation Vol.43 2024.9
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| 20. |
Adaptive Sampling for Monte-Carlo Event Imagery Rendering
Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo
ACM SIGGRAPH 2024 Posters 2024.7
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| 21. |
Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation
Yuichiro Manabe, Tatsuya Yatagawa, Shigeo Morishima, Hiroyuki Kubo
IEEE International Conference on Computational Photography (ICCP) pp.1-10 2024.7
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| 22. |
X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions
Tomoki Mori, Yutaka Ohtake, Tatsuya Yatagawa, Kazuhiro Kido, Yasunori Tsuboi
Journal of Nondestructive Evaluation 2024.6
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| 23. |
Efficient evaluation of misalignment between real and virtual objects for HMD-Based AR assembly assistance system (Peer-reviewed) Ting-Hao Li, Hiromasa Suzuki, Yutaka Ohtake, Tatsuya Yatagawa, Shinji Matsuda
Advanced Engineering Informatics Vol.59,pp.102264 2024.1
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| 24. |
Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants.
Haruki Hattori, Yutaka Ohtake, Tatsuya Yatagawa, Kazutoshi Miyamoto, Masashi Hirota
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops pp.673-674 2024
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| 25. |
Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising (Peer-reviewed) Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima
IEEE International Conference on Image Processing (ICIP) 2023.10
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| 26. |
End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections (Peer-reviewed) Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki, Jun Hotta
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2023.10
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| 27. |
Feature shape inspection of metal parts by matching X-ray projection images with CAD model projections (Peer-reviewed) Yingqi Tan, Yutaka Ohtake, Tatsuya Yatagawa, Hiromasa Suzuki
Precision Engineering Vol.81,pp.221-231 2023.5
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| 28. |
Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm (Peer-reviewed) Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Nondestructive Testing and Evaluation pp.1-23 2023.3
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| 29. |
Degree of local symmetry for geometry-aware selective part visualisation on CT volumes (Peer-reviewed) Nobumichi Yasunami, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Nondestructive Testing and Evaluation pp.1-13 2022.9
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| 30. |
Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites (Peer-reviewed) Siqi Wang, Tatsuya Yatagawa, Hiromasa Suzuki, Yutaka Ohtake
Journal of Nondestructive Evaluation Vol.41,No.2 2022.6
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| 31. |
Hierarchical alignment of 3D print with tool path based on microstructure (Peer-reviewed) Yang, Y., Ohtake, Y., Yatagawa, T., Suzuki, H.
Virtual and Physical Prototyping Vol.17,No.1,pp.1-19 2022.1
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| 32. |
Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function.
Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
CoRR Vol.abs/2207.06661 2022
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| 33. |
Light Source Selection in Primary-Sample-Space Neural Photon Sampling (Peer-reviewed) Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima
SIGGRAPH Asia 2021 Posters 2021.12
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| 34. |
Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation (Peer-reviewed) Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Proceedings of the British Machine Vision Conference 2021.11 |
| 35. |
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks.
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
CoRR Vol.abs/2107.02909 2021
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| 36. |
AR-Based Assembly Assistance System with Efficient Evaluation of Misalignment Between Virtual and Real Objects (Peer-reviewed) Ting-Hao Li, Hiromasa Suzuki, Yutaka Ohtake, Tatsuya Yatagawa, Shinji Matsuda
Advances in Intelligent Systems and Computing pp.690-697 2020.7
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| 37. |
Image-based translucency transfer through correlation analysis over multi-scale spatial color distribution (Peer-reviewed) Hideki Todo, Tatsuya Yatagawa, Masataka Sawayama, Yoshinori Dobashi, Masanori Kakimoto
The Visual Computer Vol.35,No.6-8,pp.811-822 2019.5
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| 38. |
RSGAN: Face swapping and editing using face and hair representation in latent spaces (Peer-reviewed) Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
ACM SIGGRAPH 2018 Posters, SIGGRAPH 2018 pp.69:1-69:2- 2018.8
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| 39. |
Efficient Metropolis Path Sampling for Material Editing and Re-rendering (Peer-reviewed) Tatsuya Yatagawa
Pacific Graphics Short Papers 2018
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| 40. |
Fast Subsurface Light Transport Evaluation for Real-Time Rendering Using Single Shortest Optical Paths (Peer-reviewed) Ozawa Tadahiro, Yatagawa Tatsuya, Kubo Hiroyuki, Morishima Shigeo
The Journal of the Institute of Image Electronics Engineers of Japan Vol.46,No.4,pp.533-546 2017.10
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| 41. |
A Template-Based Completion Framework for Videos with Dynamic Backgrounds (Peer-reviewed) Tatsuya Yatagawa, Yasushi Yamaguchi
Advances in Visual Computing pp.155-165 2012
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| 42. |
Solid-state NMR analysis of interaction sites of curcumin and 42-residue amyloid β-protein fibrils (Peer-reviewed) Yuichi Masuda, Masashi Fukuchi, Tatsuya Yatagawa, Masato Tada, Kazuyuki Takeda, Kazuhiro Irie, Ken-ichi Akagi, Youko Monobe, Takayoshi Imazawa, K. Takegoshi
Bioorganic & Medicinal Chemistry Vol.19,No.20,pp.5967-5974 2011.10
|