| Detecting deepfakes with self-blended images K Shiohara, T Yamasaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 343 | 2022 |
| Blendface: Re-designing identity encoders for face-swapping K Shiohara, X Yang, T Taketomi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 36 | 2023 |
| Face2Diffusion for Fast and Editable Face Personalization K Shiohara, T Yamasaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| PetFace: A large-scale dataset and benchmark for animal identification R Shinoda, K Shiohara European Conference on Computer Vision, 19-36, 2024 | 3 | 2024 |
| OpenAnimalTracks: A Dataset for Animal Track Recognition R Shinoda, K Shiohara arXiv preprint arXiv:2406.09647, 2024 | 1 | 2024 |
| Differentiable Programming based Step Size Optimization for LMS and NLMS Algorithms K Hayashi, K Shiohara, T Sasaki 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 1 | 2019 |
| LITA: LMM-Guided Image-Text Alignment for Art Assessment T Sunada, K Shiohara, L Xiao, T Yamasaki International Conference on Multimedia Modeling, 268-281, 2024 | | 2024 |
| A study on variable step size NLMS algorithm with deep unfolding T Sasaki, K Shiohara, K Hayashi IEICE Technical Report; IEICE Tech. Rep. 119 (395), 7-12, 2020 | | 2020 |
| Supplementary Material for BlendFace: Re-designing Identity Encoders for Face-Swapping K Shiohara, X Yang, T Taketomi | | |
Toshihiko YamasakiDepartment of Information and Communication Engineering, The University of TokyoEmail verificata su cvm.t.u-tokyo.ac.jp