The workshop is an opportunity to identify key problems where a data-driven and machine learning approach can allow overcoming a lack of adequate data and\or physical description in image formation. Conversely, adding (more) physics in learning models can allow significant progresses in challenging tasks such as pattern recognition with co-designed optical systems, feature learning about optical media in high resolution imaging for astronomy, optical design of optimal freeform lenses, color prediction in case of translucent substrates, etc. The present workshop will address the improvement of the performance of optical systems concerned by optimization, prediction or statistical decision. The scope covers explainability, a crucial topic in case of human-like tasks when entrusted to deep artificial neural networks.
Scientific topics
Physical imaging
Machine learning theory
Optical design
Optimization and evolutionary computation
3D imaging
Deep reconstruction
High resolution imaging in astronomy
Reinforcement learning
Macroscopic light-matter interaction
Appearance prediction
Image quality assessment
Metric learning
Keynote lectures
Vahid Babaei, Computer Graphics Dept, Max Planck Institute for Informatics, Saarbrücken
Stéphane Canu, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes, Rouen
Nikolaus Hansen, Centre de Mathématiques appliqués de l'Ecole Polytechnique, Palaiseau
Bahram Javidi, University of Connecticut
Frantz Martinache, Observatoire de la Côte d'Azur
Nelly Pustelnik, Laboratoire de Physique ENS, Lyon
Philippe Réfrégier, Institut Fresnel, Marseille
Committees
Conference chairs:
Thierry Fournel (Lab. H. Curien, Univ. de StEtienne), Bahram Javidi (MOSIS lab., Univ. of Connecticut), Cédric Richard (Lab. J.L. Lagrange, Univ. de Nice Sophia Antipolis)
Scientific committee:
Artur Carnicer (Dept. of Applied Physics, Universitat de Barcelona), Andrea Ferrari (Lab. J.L. Lagrange, Université de Nice Sophia Antipolis), Pietro Ferraro (Institute of Applied Sciences and Intelligent Systems, National Research Council of Italy, Pozzuoli), Amaury Habrard (Lab. H. Curien, Saint-Etienne), Thierry Lépine (Institut d’Optique G. S., Lab. H. Curien, Saint-Etienne), Abhijit Mahalanobis (Center for Research in Computer Vision, University of Central Florida, Orlando), Denis Mourard (Lab. J.L. Lagrange, Observatoire de la Côte d'Azur, Nice), Raimondo Schettini (Dept of Informatics, Systems and Communication, Imaging and Vision Laboratory, University of Milan-Bicocca), Enrique Tajahuerce (Dept. of Physics, Universitat Jaume I, Castellón de la Plana)
