
PRESENTATION
Team leader : David TSCHUMPERLE
The Image team’s research activities focus on the development of new methods for processing and analyzing signals/images/videos or discrete data, with a focus on removing theoretical, algorithmic, methodological and practical barriers. Several of these methods are applied to the resolution of concrete problems, benefiting in particular from collaborations with Norman research centers in biomedical imaging.
Keywords : Image Processing and Deep Learning Vision, Shape Recognition, Inverse Problems, Signal Processing on Graphs, Mathematical Morphology, Computational Photography, Statistical Theory, Knowledge Engineering, Ontologies.
RESEARCH TOPICS
This theme deals with the study and development of “low-level” algorithms for the analysis and processing of multimodal data (signals, images, videos and texts). The common scientific basis of these algorithms is based on variational methods, inverse problems, PDEs, optimal transport, non-local patching methods, algorithms defined on graphs, and multivariate mathematical morphology.
This theme focuses on the theoretical study of non-convex optimization algorithms for statistical learning. In particular, we try to formalize mathematically the fusion of physical models and training data for the improvement of machine learning performances.
This theme explores the use of “high-level” algorithms based on machine learning and neural and neural networks for pattern and structure recognition in image/video data, data defined on the image/video data, graph-based data, or textual data.
This theme focuses on image processing methods, which take the form of application collaborations with regional health actors: MRI image processing (with the Cyceron centre, the Caen University Hospital), microscopy and decision support in cancer (with the Cyceron center, the Caen University Hospital), microscopy and decision support in cancerology (with the François Baclesse François Baclesse cancer center, CHPC in Cherbourg), hadrontherapy (ARCHADE program in Caen) (ARCHADE program in Caen), accessibility for the blind (LPCN Caen, association (LPCN Caen, CecitiX association, Starnav company), or the early detection of mental disorders (EPSM Caen).
This theme brings together work that aims to process raw data from image acquisition campaigns of heritage works in 2D, 3D and multispectral. With the work in image and point clouds and collaborations with researchers in SHS, the team has acquired skills in the field of heritage enhancement to facilitate accessibility for historians, curators, researchers and for the visually impaired or blind. We intend to continue We intend to continue this interdisciplinary work, in particular within the framework of the regional NUMNIE-2 program in connection with the MRSH or within the framework of national or international programs.
This theme covers the use of algorithmic methods for the retouching of digital photographs and videos, as well as assistance in artistic creation. The expertise of the team in the field of analysis and synthesis of photographs (in particular with our recent work on generative antagonistic networks), coupled with the growing popularity of the G’MIC software platform, developed in the team and used by photographers and illustrators around the world, make this an application theme with great potential. The work of this theme builds a natural theoretical link between the themes TS1 and TS3.
FOR MORE INFORMATION
BOUGLEUX Sébastien – University lecturer at the University of Caen Normandie
BRUN Luc – Professor of universities at the ENSICAEN (HDR)
CHAHIR Youssef – University lecturer at the University of Caen Normandie (HDR)
CLOUARD Régis – University lecturer at the ENSICAEN (HDR)
DIAS Gaël – University lecturer at the University of Caen Normandie (HDR)
EL MOATAZ BILLAH Abderrahim – University lecturer at the University of Caen Normandie (HDR)
FADILI Mohamed-Jalal – Professor of universities at the ENSICAEN (HDR)
FOUREY Sébastien – University lecturer at the ENSICAEN
HÉRAULT Romain – Professor at the University of Caen Normandie (HDR)
JURIE Frédéric – Professor of universities at the University of Caen Normandie (HDR)
KENMOCHI Yukiko – Research fellow at the CNRS (HDR)
LECHERVY Alexis – University lecturer at the University of Caen Normandie
LEZORAY Olivier – Professor of universities at the University of Caen Normandie (HDR)
MAHBOUBI Amal – University lecturer at the University of Caen Normandie
MAUREL Fabrice – University lecturer at the University of Caen Normandie (HDR)
MOKHTARI-BRUN Myriam – University lecturer at the ENSICAEN
QUEAU Yvain – Research fellow at the CNRS
RABIN Julien – University lecturer at the University of Caen Normandie (HDR)
SCHUPP Sophie – University lecturer at the University of Caen Normandie
SIMON Loïc – University lecturer at the ENSICAEN
TSCHUMPERLE David – Research fellow at the CNRS (HDR)
VROYLANDT Hadrien – CPJ
Youva Addad – PhD student
Paul Barthe – PhD student
Yassine Belkheiri – PhD student
Mehdy Bennani – PhD student
Sidney Besnard – PhD student
Lilian Bour – PhD student
Jérome Cartier – PhD student
Matéo Ducastel – PhD student
Mathis Dupont – PhD student
Søren Fomsgaard – PhD student
Eric Hu – PhD student
Natacha Lambert – PhD student
Jade Lasserve – PhD student
Alexandre Leclercq – PhD student
François Ledoyen – PhD student
Raphaëlle Lemaire – PhD student
Guillaume Letellier – PhD student
Julien Mendes Forte – PhD student
Alexandre Perier – PhD student
Marjorie Redon – ATER
Soumaya Sabry – PhD student
Stevan Stanovic – PhD student
Benjamin Sykes – PhD student
Nilesh Tete – PhD student
Kaoutar Arbouch – IE CDD
Pierrick Chatillon – Post-doc
François Dallochio – IE CDD
Antoine Favier – Post-doc
Azamat Kaibaldiyev – IE CDD
Hubert Leterme – Post-doc
Dhia Eddine Merzougui – IE CDD
Giorgio Morales – Post-doc
Saqib Nazir – Post-doc
Jérémie Pantin – MCF CDD
Romain Radiguet – IE CDD
Zakaria Lakdhari – Chercheur associé – PRAG
ANR SEMAPOLIS
ANR GRAPHSIP (Mai 2015 – Octobre 2018)
RIN AGAC (Septembre 2017 – Aout 2019)
RIN Recherche MonoMADS (2017 – 2019)
RIN Recherche Asterics (2017 – 2019)
Projet H2020 NOMADS (2017 – 2020)
CoPI Workpackage ERC Consolidator grant (2017 – 2022)
CPER NUMNIE : Projet de Centre de compréhension de l’Europe médiévale (Tapisserie de Bayeux)
Collaboration GREYC / CHPC de Cherbourg-en-Cotentin
TEAM LIFE
Séminaire Image
28 June 2020 / 08:00 - 09:00Journée NormaSTIC : Activités de l’Axe IMAGE autour du patrimoine.
27 May 2021Séminaire IMAGE : Quentin Bertrand (MILA), « Hyperparameter selection for high dimensional sparse learning: application to neuro-imaging »
18 November 2021 / 15:30 - 16:30Séminaire IMAGE : Vision par ordinateur au service du patrimoine culturel (Matthieu Pizenberg)
15 March 2022 / 14:00 - 15:30Séminaire IMAGE : “Régularisation spatiale par variation totale sur graphe dans une architecture d’apprentissage profond” (X. Hoarau)
29 April 2022 / 14:00 - 16:00