| 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. |
Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array
Haruki Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki
Journal of Nondestructive Evaluation 2024.9
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| 14. |
Spectral X-ray computed tomography image denoising using weighted local regression and noise-insensitive feature dimensionality reduction
T. Hotta, T. Yatagawa, Y. Ohtake, M. Matsukawa, H. Suzuki, T. Aoki
Journal of Instrumentation 2024.8
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| 15. |
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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| 16. |
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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| 17. |
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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| 18. |
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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| 19. |
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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| 20. |
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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| 21. |
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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| 22. |
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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| 23. |
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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| 24. |
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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| 25. |
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 |
| 26. |
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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| 27. |
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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| 28. |
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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| 29. |
Efficient Metropolis Path Sampling for Material Editing and Re-rendering (Peer-reviewed)
Tatsuya Yatagawa
Pacific Graphics Short Papers 2018
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| 30. |
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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| 31. |
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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| 32. |
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
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