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Kaede Shiohara
Kaede Shiohara
Verified email at cvm.t.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
Detecting deepfakes with self-blended images
K Shiohara, T Yamasaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1522022
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
52023
Face2Diffusion for Fast and Editable Face Personalization
K Shiohara, T Yamasaki
arXiv preprint arXiv:2403.05094, 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
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
2019
Supplementary Material for BlendFace: Re-designing Identity Encoders for Face-Swapping
K Shiohara, X Yang, T Taketomi
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Articles 1–6