Scientific Committee
Comité scientifique
Andrés Almansa (Université Paris Cité)
Coloma Ballester (Pompeu Fabra University)
Antonin Chambolle (Université Paris-Dauphine)
Raymond Chan (City University of Hong-Kong)
Julie Digne (CNRS, Université de Lyon)
Yann Gousseau (Télécom Paris)
Sung Ha Kang (Georgia Institute of Technology)
Jean-Michel Morel (City University of Hong-Kong)
Guillermo Sapiro (Duke University, USA & Apple)
Organizing Committee
Comité d’organisation
Julie Delon (Université Paris Cité)
Agnes Desolneux (CNRS, ENS Paris-Saclay)
Jacques Froment (Université Bretagne Sud)
Bruno Galerne (Université d’Orléans)
Simon Masnou (Université Claude Bernard Lyon 1)
Pablo Musé (University of the Republic, Montevideo)
The objective of this workshop is to convene both young and experienced mathematicians to deliberate on current trends and future prospects in imaging mathematics, drawing from the wealth of knowledge accumulated over the last forty years. The aim is in particular to identify new research pathways that address the novel challenges posed by the widespread development of deep learning.
L’objectif de cet atelier est de réunir à la fois des mathématiciens et mathématiciennes jeunes et des plus expérimentés pour débattre sur les tendances actuelles et dessiner les perspectives d’avenir en mathématiques de l’imagerie, en s’appuyant sur la richesse des connaissances accumulées au cours des quarante dernières années. L’objectif est en particulier d’identifier de nouvelles voies de recherche répondant aux nouveaux défis posés par le développement généralisé de l’apprentissage profond.
SPEAKERS
Andrés Almansa (Université Paris Cité) Accelerating Posterior Sampling with Generative Priors for Blind Inverse Problems
Luis Alvarez (University of Las Palmas de Gran Canaria) Vectorisation, random generation and editing of 2D shapes using Bézier curves
Pablo Arias Martínez (University of Waterloo) Self-supervised training for multi-frame restoration problems
Antonin Chambolle (CNRS, Université Paris-Dauphine) Some properties of the solutions of Total-Variation regularized inverse problems
Carlo de Franchis (Kayrros and ENS Paris – Saclay) TBA
Mauricio Delbraccio (Google Research) The Power of Iteration: Achieving Realistic Image Restoration Through Direct Inversion
Agnes Desolneux (CNRS, ENS Paris-Saclay) Generating images: some methods and some applications
Julie Digne (CNRS, Université Claude Bernard Lyon 1) Implicit Neural Representation for Geometry Processing
Thibault Ehret (ENS Paris-Saclay) Traditional methods in the deep learning era
Gabriele Facciolo (ENS Paris-Saclay) Satellite Stereo Imaging: From Small Baseline to Any Baseline and Back
Marina Gardella (IMPA) One Man’s Trash Is Another Man’s Treasure: Noise and Its Forensic Applications
Yann Gousseau (Télécom Paris) TBA
Rafael Grompone (ENS Paris-Saclay) TBA
Frédéric Guichard (DxoMark) Bridging Lab Tests and User Preferences in Camera Quality Evaluation
Sung Ha Kang (Georgia Tech) Image Vectorization with Depth
Roy Yuchen He (City University of Hong Kong) Shapes from Pixels: the Mathematics of Image Vectorization
Jose-Luis Lisani (University of the Balearic Islands) Computer Vision for Marine Sciences
François Malgouyres (IMT Toulouse) Two contributions: On geometry-induced implicit regularization and on the Straight-Through Estimator
Enric Meinhardt-Llopis (ENS Paris-Saclay) The Kernel Rank Transform
Pascal Monasse (École nationale des ponts et chaussées) On the usage of level lines
Jean-Michel Morel (City University of Hong-Kong) An illustration of artificial intelligence through the lens of imaging science
Tina Nikoukhah (ENS Paris-Saclay) From back when fake meant Photoshop to now
Stanley Osher (University of California, Los Angeles) A Novel Approach for Solving Hamilton–Jacobi Equations with Applications to Optimal Transport
Lara Raad Cisa (UdelaR, Uruguay) Neural Style Transfer for Ultra-High Resolution Images and 3D Scenes
Catalina Sbert Juan (University of the Balearic Islands) Bridging Retinex and NonLocal Models
Filippo Santambrogio (Université Claude Bernard – Lyon 1) The Wasserstein gradient flow of the total variation
Guillermo Sapiro (Duke University, USA & Apple) How old is JM truly?
SPONSORS
