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Education/Working Experience
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@ E-mail ☏ Phone ✉ Address |
Image Analysis
Image interpretation
Pattern Recognition
Segmentation
Information/Knowledge
Perception/Computer Vision
Feature Selection
Multi-agent systems
Content-based image retrieval
Agrégation multi-critères
Smart Markers
Biomedical Imaging
Document Image Analysis
L3i, University of La Rochelle
LIRIS(UMR CNRS 5205), INSA-Lyon / University of Claude Bernard Lyon 1 / University of Lumière Lyon 2 / École Centrale de Lyon
CReSTIC (EA 3804), University of Reims
Imageries du Vivant (IDV), Sorbonne Paris Cité(SPC)
Institut de recherche et d'histoire des textes (IRHT), Cnrs
Quantitative Imaging Laboratory, Stanford School of Medicine, Stanford University
I am involved (and I have been involved) in different research projects related to biomedical imaging and document image analysis.
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HighVision Project (2025-2028) Involvement : Member Funding: ANR (France)
Computer vision for a history of early news photo agencies at scale. The High-Vision project aims to advance historical investigations and research in computer vision and artificial intelligence (CVAI) for large collections of historical photographs. It seeks to harness state-of-the-art models for AI training data with a view to shape little-curated photographic archives into digital assets so that they can be investigated by historians, archivists, and the public on a large scale and in innovative ways. The objective of this project is to go beyond state-of-the-art developments in computer vision, focusing on layout segmentation as pre-processing steps, object recognition, image similarity and retrieval followed by metadata enrichment to improve the multimodal indexing steps of images from different data corpora. This High-Vision project will establish a robust pipeline that can effectively trace the circulation of news photographs, document their changing editorial contexts and accurately shape a mass of digitised historical photos without pre-existing metadata into a usable collection. Collaboration: LARCA/LIPADE/Université Paris Cité, LIP6/Sorbonne Université (SU), Maison des Sciences de l’Homme Mondes (UAR 3225), Service Historique de la Défense (SHD), Image Centre (IMC) at Toronto Metropolitan University (TMU).
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Projet iaPacs (2021-2025) Involvement : PI Funding: Idf - Philips
The iaPacs project focuses on the integration of a content-based image search engine in a medical image database to assist radiologists in the interpretation of images in clinical routine and decision making.
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Projet eycon (2021-2024) Involvement : Resp. partie images Funding: chaire - Idex
The central objective of EyCon is to explore computational solutions to enhance the visualization, navigation and analysis of large visual corpora.
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ANR TIMES (2017-2021) Involvement : Member (16 %) Funding: French Agence Nationale de le Recherche The TIMES project aims to support the analysis of satellite image time series in order to monitor the dynamics of our Planet, its land-cover and land-use. The objective of this project is to provide new high-performance processing techniques for mapping and monitoring environmental changes from massive, heterogeneous and high frequency data times series. Our team covers the image processing part of the project, with the main mission of developing and validating novel image analysis methods dedicated to environmental monitoring of landscape objects (e.g. coastal erosion, surface deformation, land cover changes) from the exploitation of the mass of available heterogeneous geospatial data (aerial and satellite images, point cloud data) acquired with very-high temporal frequency. The ANR TIMES project is a collaboration between recognized teams in Computer Sciences (LIPADE, MIPS, MONASH (Australia) and SERTIT-ICUBE), possessing expertise in image analysis, pattern recognition, machine learning and high performance computing, and in environmental geography (land cover/use change analysis) with LIVE and ICUBE-SERTIT. |
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ANR SHADES (2014-2018) Involvement : Member (22 %) Funding: French Agence Nationale de le Recherche The SHADES project is an interdisciplinary project on the security of documents combining experts from computer science and law. The objective of this project is to provide a new tool for authenticating a document through an advanced electronic signature in order to fight against fraud and falsification. Addressing the drawbacks of current solutions for hybrid document security, this signature, based on the document’s content and structure, will allow recognizing and authenticating a document independent from its physical representation as long as its content and/or structure have not been modified. Thanks to a hashing of the document’s information during the signature computation, no information from the original document will be deduced from its signature alone. This will be completed by a study on the legal position of this technology and its interest for legal professionals. The project will be conducted in collaboration with a trusted third party and an end user. |
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Programme Interdisciplinaire Imageries du Vivant: entre progrès et libertés (2014-2018) Involvement : Member (22 %) Funding: USPC - France The IDV (Imageries du Vivant) program is a program focused :
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ANR ORIFLAMMS (2013-2016) Involvement : Member (18 %) Funding: French Agence Nationale de le Recherche The Oriflamms project (Ontology Research, Image Features, Letter form Analysis on Multilingual Medieval Scripts) The Oriflamms project brings together laboratories in the field of human and social sciences (SHS), laboratories in the field of Science and Technology of Information and Communication (STIC) and a company (A2iA) to improve the transcription of ancient documents with an interdisciplinary and innovative approach by introducing knowledge related to Medieval systems and styles of writings, according to their production context and their language. The work of the SIP team of the Lipade concerns the study of the variability of the forms contained in the writings. |
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OSEO DOD (2013-2016) Involvement : Associated Partner Funding: OSEO - France DOD poject (Offer of Document Dematerialization) is in partnership with the industrial company Itesoft-Yooz. The objective of this project is to identify and investigate the degradations that a document image may contain in relation to the original document. In an acquisition context (by camera or scanner) delocalized in relation to the document operator, it is therefore necessary to measure the quality of the image and to improve it as far as possible. |
Link to a ranked list of Computer Science conferences.
My page on scopus and my page on DBLP:
2027 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 - All - HDR/PhD
Type(s) of publications : all
Year(s) : all

Université Paris Cité (France)
@ UFR de Mathématiques et d'Informatique
@ Faculté des Sciences Fondamentales et Biomédicales
Université Paris Cité (France)
@ Faculté des Sciences Fondamentales et Biomédicales
@ UFR de Mathématiques et d'Informatique

I have (had) the pleasure of working with the following people: