IMAGE TEAM

PRESENTATION

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.

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RESEARCH TOPICS

TS1: Multimodal Data Analysis and Processing

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.

TS2: Optimization and Statistical Learning

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.

TS3: Computer Vision and Recognition

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.

TA1: Health-Biology

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).

TA2: Heritage Valorization

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.

TA3: Computational Photography and Artistic Imaging

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.

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Permanent members

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)

Non-permanent members

Navneet Agarwal – PhD student
Yassine Belkheiri – PhD student
Sidney Besnard – PhD student
Nathan Buskulic – PhD student
Jean-Jacques N. Godeme – PhD student
Clément Hardy – PhD student
Guillaume Jeanneret S. – PhD student
Natacha Lambert – PhD student
François Ledoyen – PhD student
Rodrigo Maulen Soto – PhD student
Julien Mendes Forte – PhD student
Kirill Milintsevich – PhD student
William Pantry – PhD student
Alexandre Perier – PhD student
Marjorie Redon – PhD student
Soumaya Sabry – PhD student
Benjamin Samuth – PhD student
Mathieu Seraphim – PhD student
Stevan Stanovic – PhD student
Nilesh Tete – PhD student
Ryan Webster – PhD student
Abdelwahhab Boudjelal – Enseignant-chercheur (Algérie)
Hamza Ennaji – Post-doc
Zakaria Lakdhari – Chercheur associé – PRAG
Valentin Renier – Ingénieur CDD