ISCRA-C
EDL4FV
Efficient Deep Learning for In-Sensor Face Verification
Principal Investigator
An ISCRA-C compute grant developing a fully parallel architecture that integrates advanced deep learning directly into image sensors for face recognition.
About this project
Principal investigator on an HPC-allocated compute grant exploring fully parallel deep-learning architectures designed to run directly on the image sensor for low-latency, privacy-preserving face verification.