AntoniniResearch Director CNRS
Leader of the group Mediacoding

Marc ANTONINI received the Ph.D. degree in electrical engineering in 1991 and the “Habilitation à Diriger des Recherches” in 2003, both from the University of Nice-Sophia Antipolis (France). He was a postdoctoral fellow at the Centre National d'Etudes Spatiales (CNES, Toulouse, France), in 1991 and 1992. He joined the CNRS in 1993 at the I3S laboratory both from University of Nice-Sophia Antipolis and CNRS and he is "Directeur de Recherche CNRS" since 2004. He is leading the MediaCoding research team at I3S laboratory (
He is a co-founder of Cintoo3D ( a Start-Up he created in July 2013, spin-off from University of Nice-Sophia Antipolis and CNRS and specialized in 3D streaming solutions.


Professor of University of Nice-Sophia Antipolis


NEW! DEMO Machine Learning using Constraint Convex Splitting Method (zip)

Michel Barlaud is Professor at the University of Nice-Sophia Antipolis. His research deals with image processing: wavelet transform for image and video compression, variationnal methods for 3D image reconstruction, denoising, segmentation, and Machine Learning methods for supervised classification.
He is editor is chief of two books. He is the co-author of more than 250 papers , including 7 book chapters, 54 papers in international journals, more than 200 articles in international conferences. His index evaluation is: h-index =35 and i-index =109. He has 10 007 citations of his papers.


Professor of University of Nice-Sophia Antipolis


Lionel Fillatre received the Dipl.-Ing. in decision and information engineering and the M.Sc. degree in systems optimization in 2001 and the Ph.D. degree systems optimization in 2004 from Troyes University of Technology (UTT), France. In 2005, he was an assistant professor at the UTT and he had a postdoctoral position in the computational department of Telecom Bretagne in 2006. From 2006 to 2007, he was an Associate Professor at Telecom Bretagne, Brest, France. From 2007 to 2012, he was an Associate Professor at the Systems Modelling and Dependability Laboratory, Troyes University of Technology. He is a full professor at the I3S laboratory, University of Nice Sophia-Antipolis since 2012. His current research interests include statistical decision theory, machine learning, bio-inspired coding, signal and image processing, and biological data processing.



Assistant Professor (Maître de Conférences) of University of Nice-Sophia Antipolis


Frédéric is an assistant professor ("Maître de Conférence") at the University of Nice Sophia Antipolis, France, since 2006. He is with the I3S laboratory (joint CNRS/UNS lab.), and teachs Networks and Telecommunications at bachelor levels (IUT Réseaux et Télécoms). Member of the Mediacoding group, his research is focused on geometry processing in the context of the 3D digitization chain. His objective is the improvement of this chain, by optimizing storage, transmission, management and visualisation of surfaces and volume meshes, and points clouds. 
Keywords: semi-regular (re)meshing, surface sampling, multiresolution analysis, geometry compression, LOD visualisation...

BaticlePhD Student (Grant PACA - Cintoo3D)

Topic  Surface reconstruction from dense point clouds

Keywords surface reconstruction, data visualisation, point cloud compression, geometry processing

Arnaud Bletterer obtained his MSc in Computer Science from the University of Strasbourg in 2014. He is currently PhD student at the University of Nice Sophia Antipolis, under the supervision of Marc Antonini and Frédéric Payan. This thesis is funded by the Region "Provence Alpes Côte d'Azur", in collaboration with the startup Cintoo3D, which is a spinoff the the CNRS and the University of Nice Sophia Antipolis. His work mainly focuses on 3D surface reconstruction and data visualisation.



dannyPhD Student (MESR Grant)

Topic  Statistical machine learning

Danny Schmitt obtained his MSc in mathematics at the University of Nice Sophia-Antipolis in 2014, and then his MSc in computer science in 2016. He started a PhD in statistical learning under the supervision of Lionel Fillatre at I3S laboratory in October 2016. This thesis aims to develop effective learning algorithms when the data are few, with applications on biological measures.


Assistant Professor (Maître de Conférences) University of Nice-Sophia Antipolis (UNS)