JST Top ASPIRE 'Deep Sensing: Jointly optimizing sensing and processing for CV/AI applications'

This collaborative research aims to generalize the “deep sensing” framework, which jointly optimizes both sensing and processing, and demonstrate its feasibility and efficiency across a wide range of computer vision and AI applications. Our team comprises leading research groups in Computational Photography and Computer Vision. We collaboratively develop a new computational camera system and apply it to various downstream computer vision tasks to achieve high accuracy, low data acquisition requirements, and reduced computational costs. Through our joint efforts, we aim to establish the “deep sensing” framework as a standard approach in the computer vision and AI communities. Additionally, by promoting collaborative and complementary research and encouraging researcher mobility, this project seeks to strengthen international research networks between the US/Canada and Japan.