Projects
My research focuses on understanding human vision and cognition, and on improving the quantity and quality of AI data.
Invisible-to-Visible
Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net
CFLOW-AD
Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Contrastive Neural Processes
A new method for self-supervised learning that does not require augmentation engineering
Medical Image Retrieval
A technology to search for similar cases by reproducing the points that doctors focus on during diagnosis
Brain Machine Interface
An estimate technology using Brain Wave Patterns for Acceptable Maximum Sound Volume of Hearing Aids