Apprentissage

Strategy

Apps

• Handwriting recognition
• Analysis of handwritten documents
• Analysis of old documents
• Information retrieval
• Medical imaging
• Analysis of sports gestures
• Analysis and synthesis of molecules
• Analysis of road scenes
• Road traffic analysis
• Risk management
• Historical spatial dynamics
• Analysis and description of audio scenes
• Time series analysis

Partner

International Collaborations

• Heidelberg University (Germany), Linear optimization in integers
• SCK CEN - Belgian Center for Nuclear Energy (Belgium), geostatistiques
• Université Catholique de Louvain (Belgium), dimensionality reduction, medical imagery
• KU Leuven (Belgium), tensor decomposition 
• Eindhoven TU (Netherland), weakly supervised learning, medical imaging
• Cornell University (United States of America), variable selection
• Rutgers University (United States of America), statistical model selection
• ÉTS de Montréal (Canada), handwritten and printed document recognition
• Universidade de Sao Paulo (Brazil), dictionary learning
• Pontifícia Universidade Católica do Paraná (Brazil), analysis of handwritten documents
• Indian Statistical Institute de Calcutta (India), biometrics and handwriting analysis

National Academic Collaborations

• INRIA Grenoble, (group Thoth), deep learning
  
• I3E, (group Maasai) deep learning
• LIS (ex. LIF, group QARMA), deep learning
• LIP6 (group MLIA), deep learning
• INRIA Nancy - Grand Est (group MultiSpeech), audio scenes recognition
• LTCI (group S2A), deep learning
• LIG (group APTIKAL), time series analysis
• MIP, sports gesture analysis
• Lagrange, (group SI), optimal transport 
• IRISA (group OBELIX), optimal transport 
• IRISA (group IntuiDoc), historical financial data analysis
• CAMS (group MSC), historical financial data analysis
• PSE, historical financial data analysis
• LARHRA, optical recognition of ancient documents 
• CEA LIST, domain adaptation, video sequence analysis
• UMI UMMISCO, serious games

Academic Collaborations in Normandy

• GREYC (several research groups including Image et CoDaG), deep learning, imaging
• Centre François Baclesse, medical imaging
• Centre Henri Becquerel, medical imaging
• CERMN, chemoinformatics
  
• GMP, physical models
• CORIA, computational fluid mechanics, physical models
• UMR IDEES, serious games
• CETAPS, sports gesture analysis
• IRSEEM,  road scene analysis
• CEREMA Normandie-Centre, road scene analysis
• and mathematics laboratories LMI et LMRS

Industrial Partners

Projects

Share2Detect: Sharing is detecting in Federated Learning (ANR, 2026-2030)

POPSTRAS: Extraction d’informations à partir de tableaux semi-structurés manuscrits du Fichier Domiciliaire pour une histoire de la population de Strasbourg (1871-1939) (ANR, 2026-2030)
Partners : SAGE, UMR IDEES

OCTOPUSSY : Nouvelles techniques computationnelles pour l'optimisation de polymères (ANR, 2024-2028)
Partners : PBS, PIMM, COBRA, University of York

ODD : Online Deep anomaly Detection (ANR, 2023-…)

Chaire IA RAIMO : A Road toward safe Artificial Intelligence in MObility (ANR, 2020-2024)

DynaTeam : Dynamique de coordination d'équipe (ANR, 2023-…)
Partners : CETAPS, Équipe RI2C du LITIS

FAMOUS : Fair Multimodal Learning (ANR, 2023-…)
Partners : LIS, LHC, INT, Euranova

FINLAM : Foundation INtegrated models for Libraries Archives and Museum (ANR, 2023-…)
Partners : TEKLIA, BnF

SHARP : Machine Learning for Safe Vehicle Charging Points (ANR, 2023-…)
Partners : Citeos Solutions Digitales (VINCI Energies), GREYC

CoDeGNN : Convolution and Decimation for Graph Neural Networks (ANR, 2021-2025)
Partners : GREYC, LIFAT

MediSeg : Deep medical image segmentation: what’s next? (ANR, 2021-2025)
Partners : LMI, ImVIA, Équipe QuantIF du LITIS

MultiTrans : Gradual Multi Transfer Learning for Safe Autonomous Driving (ANR, 2021-2025) Partners : Équipe STI du LITIS, I3S, Valeo.ai 

EXO-POPP : Optical Extraction of Handwritten Named Entities for the Marriage Certificates of the Population of Paris (1921-1946) (ANR, 2021-2024)
Main partner : LARHRA

CATCH : Automatic Understanding of Human Sensors Testimonials (ANR, 2021-2023)
Partners : Saagie, Atmo Normandie

LabCom L-Lisa : Common Lab LITIS-Saagie (ANR, 2021-2025)
Partner : Saagie

Partners : GREYC, CERMN

DeepART : Medical Image collection, segmentation and anonymization for DEEP learning in Adaptive Radiation Therapy (2020-2022)
Partners : Centre François Baclesse, Centre Henri Becquerel, GREYC

AMCAS : Machine Learning for Understanding Secondary Atomization (2020-2022)
Partner : CORIA

THESIS : THermoplastic Erosion Shield for new generation Ice protection System (2019-2022)
Partners : Zodiac Aerosafety Systems (nowadays SAFRAN), Analyse and Surface, Dedienne Multi-plasturgy Group, IRSEEM, GPM, CORIA

Partners : UMR IDEES, UMI UMMISCO

Partners : LTCI, LIG

PAUSE APi : in complement to ANR APi, this funding is from the national program for the urgent aid and reception of scientists in exile (PAUSE, from the Collège de France)

NormanD'eep : Deep learning and application (2018-2022) 
Partner : GREYC

ASTURIAS : Newspaper image analysis (2018-2022) 
Partners : GREYC, MIND group of LITIS

DeepInFrance : Machine learning with deep neural networks (ANR, 2018-2022)
Partners : INRIA Grenoble, I3S, GREYC, LIF-AMU, LIP6

LEAUDS : Learning to understand audio scenes (ANR, 2018-2022)
Partners : Netatmo, INRIA Nancy - Grand Est

ESCAPE : Exploring by Simulation Cities Awareness on Population Evacuation (ANR, 2017-2022)
Partners : UMR IDEES, UMI UMMISCO

DynACEV : Dynamics of Learning: Behaviour and Lived Experiences. The role of exploratory strategies (ANR, 2017-2022)
Partners : CETAPS, ISSUL (Lausanne), MIP, SOPESES (Nouvelle-Zélande), SPARC (UK) 

OATMIL : Optimal Transport and Machine Learning (ANR, 2017-2022) 
Partners : IRISA, Lagrange, Technicolor 

HBDEX :  Analysis of historical financial data (ANR, 2017-2022)
Partners : PSE, CAMS, IRISA

POPP : Project for the oceration of the Paris population census (1921-1946) (2020-2021) - voir démonstrateur ici
Partner : LARHRA

Partners : Consortium of 16 European partners 

Read E-Doc : Development of a system for extracting specific alphanumeric information from dematerialized container shipment slips (2019-2021)

Partner : Toshiba

INTERNATIONAL

DEEDS: Deep Ensembles for Evolving Data Streams (CAPES COFECUB, 2025-2029)

DD-AnDet: Data-driven Anomaly Detectors for Time Series Data and Big Data (CAPES STIC-AmSud, 2024-2026)

MMLARP : Multimodal/Multiview Learning Applied to Real Problems (CAPES STIC-AmSud, 2024-2025)

WeSmile : Weakly supervised medical image segmentation (PHC Van Gogh, 2020-2022)
Partner : Eindhoven TU

EurHisFirm : The European project aims at designing a world-class research infrastructure to collect, merge, extract, collate, align and share detailed historical high-quality firm level data for Europe (H2020 EU, 2018-2021)
Partners : Consortium of 16 European partners 

Our PhD students in industry (CIFRE programs) with companies DataHertz, Lokad, TEKLIA, Weinig Luxscan, Actemium, SOLYSTIC, Itekube