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 Nice | Rapporteur(e) |
Mme Fromont Elisa | Professeur(e) | Université de Rennes | Rapporteur(e) |
M. Bailly Gilles | Directeur(trice) de recherche | CNRS, Sorbonne Université | Examinateur(trice) |
Mme Clavel Chloé | Professeur(e) | Telecom-ParisTech | Examinateur(trice) |
M. Horaud Radu | Directeur(trice) de recherche | INRIA Rhône-Alpes | Examinateur(trice) |
M. Canu Stéphane | Professeur(e) | INSA de Rouen | Co-directeur (trice) |
M. Wolf Christian | Maître de conférence | INSA Lyon | Directeur(trice) de thèse |