关注
Kaede Shiohara
Kaede Shiohara
在 cvm.t.u-tokyo.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Detecting deepfakes with self-blended images
K Shiohara, T Yamasaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2232022
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
142023
Face2Diffusion for Fast and Editable Face Personalization
K Shiohara, T Yamasaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification
R Shinoda, K Shiohara
arXiv preprint arXiv:2407.13555, 2024
2024
OpenAnimalTracks: A Dataset for Animal Track Recognition
R Shinoda, K Shiohara
arXiv preprint arXiv:2406.09647, 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
系统目前无法执行此操作,请稍后再试。
文章 1–8