Thesis of Quentin Debard


Subject:
Automatic learning of the next generation of human-computer interactions

Defense date: 29/05/2020

Advisor: Christian Wolf

Summary:

This thesis project was defined through a CIFRE convention between the LIRIS, the LITIS from Rouen and the company Itekube. The goal is to develop new tools from the artificial intelligence field, allowing for an easier learning and use of large tactile interfaces, where multiple users are working simultaneously. This research covers a wide range of models, from multidimensional recurrent neural networks to more usual convolutional neural networks.


Jury:
M. Precioso Frédéric Professeur(e)Université de NiceRapporteur(e)
Mme Fromont ElisaProfesseur(e)Université de RennesRapporteur(e)
M. Bailly GillesDirecteur(trice) de rechercheCNRS, Sorbonne UniversitéExaminateur​(trice)
Mme Clavel ChloéProfesseur(e)Telecom-ParisTechExaminateur​(trice)
M. Horaud RaduDirecteur(trice) de rechercheINRIA Rhône-AlpesExaminateur​(trice)
M. Canu StéphaneProfesseur(e)INSA de RouenCo-directeur (trice)
M. Wolf ChristianMaître de conférenceINSA LyonDirecteur(trice) de thèse