Research projects

SHyNE (ESR 2022):

Interdisciplinary applications of deep learning and material science to develop new material being more resistant to corrosion of Hydrogen.

Analysis of document images

Analysis of document images based on superivsed/self-supervised, multimodal learning and multitask learning for document images classification and document attributes classification.

SEDUCTION (Project Idex)

Social affects discrimination using combined acoustic and visual information in the multicultural environment (Japanese/French).