Yusuke Akamatsu

According to our database, Yusuke Akamatsu authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

CalibrationPhys: Self-Supervised Video-Based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras.

Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka

IEEE J. Biomed. Health Informatics, March, 2024

ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces.

Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka, Shizuko Gomi, Hideo Tsurushima

CoRR, 2024

2023

Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding.

Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Sensors, August, 2023

Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training.

Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, Junko Kameyama, Hideo Tsurushima

IEEE J. Biomed. Health Informatics, March, 2023

Blood Oxygen Saturation Estimation from Facial Video Via DC and AC Components of Spatio-Temporal Map.

Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Heart Rate and Oxygen Saturation Estimation from Facial Video with Multimodal Physiological Data Generation.

Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

IEEE Access, 2021

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder.

Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

IEEE Trans. Signal Process., 2020

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE 1st Global Conference on Life Sciences and Technologies, 2019

Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE International Conference on Acoustics, 2019

Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2018

Estimation of Viewed Image Categories via CCA Using Human Brain Activity.

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018