| Detecting deepfakes with self-blended images K Shiohara, T Yamasaki Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 340 | 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 | 37 | 2023 |
| Face2diffusion for fast and editable face personalization K Shiohara, T Yamasaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 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 2024 IEEE International Conference on Image Processing (ICIP), 110-116, 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 TokyoE-mail megerősítve itt: cvm.t.u-tokyo.ac.jp