| RSGAN: face swapping and editing using face and hair representation in latent spaces R Natsume, T Yatagawa, S Morishima arXiv preprint arXiv:1804.03447, 2018 | 175 | 2018 |
| Solid-state NMR analysis of interaction sites of curcumin and 42-residue amyloid β-protein fibrils Y Masuda, M Fukuchi, T Yatagawa, M Tada, K Takeda, K Irie, K Akagi, ... Bioorganic & medicinal chemistry 19 (20), 5967-5974, 2011 | 107 | 2011 |
| FSNet: An identity-aware generative model for image-based face swapping R Natsume, T Yatagawa, S Morishima Asian Conference on Computer Vision, 117-132, 2019 | 89 | 2019 |
| Real-time Rendering of Layered Materials with Anisotropic Normal Distributions T Yamaguchi, T Yatagawa, Y Tokuyoshi, S Morishima SIGGRAPH Asia, Technical Brief, 2019 | 18 | 2019 |
| Image-based translucency transfer through correlation analysis over multi-scale spatial color distribution H Todo, T Yatagawa, M Sawayama, Y Dobashi, M Kakimoto The Visual Computer 35, 811-822, 2019 | 14 | 2019 |
| Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks S Hattori, T Yatagawa, Y Ohtake, H Suzuki European Conference on Computer Vision, 2022 | 10 | 2022 |
| Sparse-view cone-beam CT reconstruction by bar-by-bar neural FDK algorithm S Wang, T Yatagawa, Y Ohtake, H Suzuki Nondestructive Testing and Evaluation 39 (2), 310-332, 2024 | 6 | 2024 |
| Sparse pixel sampling for appearance edit propagation T Yatagawa, Y Yamaguchi The Visual Computer 31 (6), 1101-1111, 2015 | 6 | 2015 |
| Temporally coherent video editing using an edit propagation matrix T Yatagawa, Y Yamaguchi Computers & Graphics 43, 1-10, 2014 | 5 | 2014 |
| Thickness-Driven Sheet Metal Segmentation of CT-Scanned Body-in-White Y Ohtake, T Yatagawa, H Suzuki, S Kubo, S Suzuki 12th Conference on Industrial Computed Tomography, 2023 | 4 | 2023 |
| Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites S Wang, T Yatagawa, H Suzuki, Y Ohtake Journal of Nondestructive Evaluation 41 (45), 2022 | 4 | 2022 |
| Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks S Hattori, T Yatagawa, Y Ohtake, H Suzuki CVPR Workshop on Learning to Generate 3D Shapes and Scenes, 2021 | 4 | 2021 |
| Data compression for measured heterogeneous subsurface scattering via scattering profile blending T Yatagawa, H Todo, Y Yamaguchi, S Morishima The Visual Computer 36 (3), 541-558, 2020 | 4 | 2020 |
| LinSSS: linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering T Yatagawa, Y Yamaguchi, S Morishima The Visual Computer, 2020 | 3 | 2020 |
| Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform Y Yamauchi, T Yatagawa, Y Ohtake, H Suzuki Computational Visual Media 9, 319-333, 2023 | 2 | 2023 |
| torchmcube: Marching Cubes for PyTorch T Yatagawa https://github.com/tatsy/torchmcubes, 2020 | 2* | 2020 |
| Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification S Chandran, T Yatagawa, H Kubo, S Jayasuriya Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Efficient evaluation of misalignment between real and virtual objects for HMD-Based AR assembly assistance system TH Li, H Suzuki, Y Ohtake, T Yatagawa, S Matsuda Advanced Engineering Informatics 59, 102264, 2024 | 1 | 2024 |
| Simulation-Based Detectability Estimation for Artificial Defects on X-ray CT Volume of Metal Components R Tokunaga, H Suzuki, Y Ohtake, T Yatagawa e-Journal of Nondestructive Testing, 2022 | 1 | 2022 |
| Matching of CAD model projections and X-ray projection images for shape inspection of metal assemblies Y Tan, Y Ohtake, T Yatagawa, H Suzuki 11th Conference on Industrial Computed Tomography (iCT), 2022 | 1 | 2022 |
Shigeo MorishimaProfessor of Applied Physics, Waseda University在 waseda.jp 的电子邮件经过验证
