Program

Week Wed. 10 Thu. 11 Fri. 12 List

	Wed. 10	Thu. 11	Fri. 12
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00	Registration 10:00 - 10:30 (30min) Registration Opening 10:30 - 10:40 (10min) Opening T. Fournel, D. Mourard A synthetic review of evolutionary algorithms and their applications in image analysis 10:40 - 11:05 (25min) A synthetic review of evolutionary algorithms and their applications in image analysis F. Ros (Laboratoire PRISME, Orléans) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_01_FRos.pdf Compound Regularization of Full-waveform Inversion for Imaging Piecewise Media 11:05 - 11:30 (25min) Compound Regularization of Full-waveform Inversion for Imaging Piecewise Media S. Aghamiry (Laboratoire Géoazur, Sophia Antipolis) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_02_SAghamiry.pdf Keynote talk on inverse problems and classification 11:30 - 12:30 (1h) Keynote talk on inverse problems and classification N. Pustelnik (ENS Lyon) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_03_NPustelnik.pdf Lunch 12:30 - 13:30 (1h) Lunch Keynote talk - Physical imaging and statistical bounds: theory and practice 13:30 - 14:30 (1h) Keynote talk - Physical imaging and statistical bounds: theory and practice P. Réfrégier (Institut Fresnel, Marseille) Optimizing polarimetric parameter estimation in the presence of detector and shot noise 14:30 - 14:55 (25min) Optimizing polarimetric parameter estimation in the presence of detector and shot noise F. Goudail (Laboratoire Charles Fabry, Palaiseau) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_05_FGoudail.pdf When spectro-imaging meets machine learning 14:55 - 15:20 (25min) When spectro-imaging meets machine learning C. Douarre (LIRIS, Lyon) Coffee break 15:20 - 15:30 (10min) Coffee break Keynote talk on the foundations of deep learning 15:30 - 16:30 (1h) Keynote talk on the foundations of deep learning S. Canu (LITIS, Rouen) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_07_SCanu.pdf Guided tour 16:30 - 19:30 (3h) Guided tour Banquet 19:30 - 22:00 (2h30) Banquet	Keynote talk - From Gradient-Based to Evolutionary Optimization 8:30 - 9:30 (1h) Keynote talk - From Gradient-Based to Evolutionary Optimization N. Hansen (Centre de Mathématiques Appliqués, Palaiseau) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_08_NHansen.pdf Optical design and optimization strategies: state of the art and future developments 9:30 - 10:15 (45min) Optical design and optimization strategies: state of the art and future developments T. Lépine (Institut d'Optique Graduate School), T. Houiller (Sophia Conseil) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_09_THoullier.pdf Differential ray tracing and optimal design applications 10:15 - 10:40 (25min) Differential ray tracing and optimal design applications J.B. Volatier (ONERA, Palaiseau) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_10_JBVolatier.pdf Coffee break 10:40 - 11:00 (20min) Coffee break Keynote presentation - Hypertelescope imaging 11:00 - 12:00 (1h) Keynote presentation - Hypertelescope imaging A. Labeyrie (Collège de France, OCA) https://mlaopticsimage.sciencesconf.org/data/program/LabeyrieValrose2019.pdf Lunch 12:00 - 13:00 (1h) Lunch Keynote talk - Diffractometry: the interpretation of diffraction-dominated data for high-angular resolution astronomy 13:00 - 14:00 (1h) Keynote talk - Diffractometry: the interpretation of diffraction-dominated data for high-angular resolution astronomy F. Martinache (Laboratoire J.L. Lagrange, Nice) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_12_FMartinache.pdf Coffee break 14:00 - 14:15 (15min) Coffee break Keynote talk - Multidimensional Integral Imaging for Sensing, Visualization, and Recognition in Degraded Environments: From Macro to Micro Scales 14:15 - 15:15 (1h) Keynote talk - Multidimensional Integral Imaging for Sensing, Visualization, and Recognition in Degraded Environments: From Macro to Micro Scales B. Javidi (University of Connecticut) Full Polarimetric Measurements in 3D Integral Imaging 15:15 - 15:40 (25min) Full Polarimetric Measurements in 3D Integral Imaging A. Carnicer (Universitat de Barcelona) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_14_ACarnicer.pdf Perception for autonomous vehicles: relevant applications using geometric and learning based models 15:40 - 16:05 (25min) Perception for autonomous vehicles: relevant applications using geometric and learning based models T. Château (Institut Pascal, Clermont-Ferrand) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_15_TChateau.pdf	Generative adversarial image recognition 8:30 - 8:55 (25min) Generative adversarial image recognition T. Fournel (Laboratoire H. Curien, StEtienne) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_16_TFournel.pdf Prediction of material appearance: the radiometric approach 8:55 - 9:30 (35min) Prediction of material appearance: the radiometric approach L. Simonot (Institut pPrimes, Poitiers) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_17_LSimonot.pdf Keynote talk - Data-driven appearance simulation for 3D printing 9:30 - 10:30 (1h) Keynote talk - Data-driven appearance simulation for 3D printing V. Babaei (Max Planck Institute for Informatics, Saarbrücken) Coffee break 10:30 - 10:45 (15min) Coffee break An overview of Coded Aperture techniques for image super-resolution, and relevant performance metrics 10:45 - 11:20 (35min) An overview of Coded Aperture techniques for image super-resolution, and relevant performance metrics A. Mahalanobis (University of Central Florida, Orlando) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_19_AMahalanobis.pdf Asplund's Metrics Useful for Images Acquired under Variable Lighting 11:20 - 11:45 (25min) Asplund's Metrics Useful for Images Acquired under Variable Lighting M. Jourlin (Lab. H. Curien, StEtienne) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_20_MJourlin.pdf Metric Learning - Application to Modeling Perceptual Color Differences 11:45 - 12:20 (35min) Metric Learning - Application to Modeling Perceptual Color Differences A. Habrard (Lab. H. Curien, StEtienne) https://mlaopticsimage.sciencesconf.org/data/program/wMLAIF_2019_21_AHabrard.pdf Closing session 12:20 - 12:30 (10min) Closing session T. Fournel, D. Mourard Lunch 12:30 - 13:30 (1h) Lunch

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