François Fleuret

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Professeur titulaire

francois.fleuret@epfl.ch +41 21 693 40 88 http://www.idiap.ch/~fleuret/

Nationalité : Swiss, French

Date de naissance : 10.01.1972

Biography
François Fleuret got a PhD in Mathematics from INRIA and the University of Paris VI in 2000, and an Habilitation degree in Mathematics from the University of Paris XIII in 2006.

He is the head of the Machine Learning group at the Idiap Research Institute, Switzerland, and Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne, where he teaches machine learning. He has published more than 80 papers in peer-reviewed international conferences and journals. 

He is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), serves as Area Chair for NeurIPS, AAAI, and ICCV, and in the program committee of many top-tier international conferences in machine learning and computer vision. He is member of the Electrical Engineering Doctoral Program Committee at EPFL, and was or is expert for multiple funding agencies (Swiss National Science Foundation, European Research Council, Austrian Science Fund, Netherlands Organization for Scientific Research, French National Research Agency, Research Council of the Academy of Finland, US National Science Foundation). 

He is the inventor of several patents in the field of machine learning, and co-founder of Neural Concept SA, a company specializing in the design and commercialization of AI learning-based solutions for engineering design. 

His main research interest is machine learning, with a particular focus on computational aspects and small sample learning. 

EPFL STI IEL LIDIAP
ELD 230 (Bâtiment ELD)
Station 14
CH-1015 Lausanne

Unité: SEL-ENS

Unité: EDEE-ENS

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Données administratives

Compétences

Statistical machine learning, Deep learning, Pattern recognition

Publications

Infoscience

Autres publications

Fran�ois Fleuret, J�r�me Berclaz, Richard Lengagne and Pascal Fua
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2008, 30(2), 267�282
Multi-Camera People Tracking with a Probabilistic Occupancy Map
Fran�ois Fleuret and Donald Geman
Journal of Machine Learning Research (JMLR), 2008, 9, 2549�2578
Stationary Features and Cat Detection
Fran�ois Fleuret
Pattern Recognition Letters (PRL), 2009, 30, 237�241
Multi-layer Boosting for Pattern Recognition
German Gonzalez, Fran�ois Fleuret and Pascal Fua
Proceedings of the European Conference on Computer Vision (ECCV), 2008, to appear
Automated Delineation of Dendritic Networks in Noisy Image Stacks
J�r�me Berclaz, Fran�ois Fleuret and Pascal Fua
Proceedings of the European Conference on Computer Vision (ECCV), 2008, to appear
Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps
Fran�ois Fleuret
Journal of Machine Learning Research (JMLR), 2004, 5, 1531�1555
Fast Binary Feature Selection with Conditional Mutual Information
Fran�ois Fleuret and Donald Geman
International Journal of Computer Vision (IJCV), 2001, 41, 85�107
Coarse-to-fine Face Detection
Fran�ois Fleuret and �ric Brunet
Neural Computation, 2000, 12, 1987�2008
DEA : An architecture for Goal Planning and Classification