Claire Launay

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Research interests

Mathematical Image Processing
Texture Modeling, Analysis and Synthesis
Image and Video Perceptual Segmentation
Determinantal Point Processes for Images
Stochastic Geometry

Background

Since September 2023 : Associate professor (Maîtresse de conférences) at the LMBA, Université de Vannes, France
March-Aug. 2023 : Posdoctoral researcher in the Institut Denis Poisson, Université de Tours, France
2020-2023: Posdoctoral researcher in the Coen-Cagli Laboratory for Computational Neuroscience at Albert Einstein College of Medicine, US
2019-2020: Temporary teacher and researcher (ATER in French) at the Mathematics and Computer Science Training and Research Unit, Université de Paris
2016-2020: PhD in Mathematics and image processing

You can find a detailed version of my CV here.

Research

Preprints

Weighted tensorized fractional Brownian textures

C. Esser, C. Launay, L. Loodveldt, B. Vedel.

Submitted, March 2024.

Publications

Measuring uncertainty in human visual segmentation

J. Vacher, C. Launay, P. Mamassian, R. Coen-Cagli.

PLOS Computational Biology journal 19, vol 9, September 2023 [pdf, project webpage].

Modélisation de Textures : Champs Gaussiens Autosimilaires et Signal Monogène

H. Biermé, P. Carré, C. Lacaux, C. Launay.

Proceedings for the GRETSI 2023 conference (Aug. 2023, Grenoble, France) [pdf].

Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models

C. Launay, J. Vacher, R. Coen-Cagli.

Proceedings for the ICIP 2022 conference, (Oct. 2022, Bordeaux, France) [pdf, project webpage].

Flexibly Regularized Mixture Models and Application to Image Segmentation

J. Vacher, C. Launay, R. Coen-Cagli.

Neural Networks 149, 107–123, February 2022 [publication, preprint].

Determinantal Point Processes for Image Processing

C. Launay, B. Galerne, A. Desolneux.

SIAM Journal on Imaging Sciences, 14(1), March 2021 [publication, preprint].

Exact Sampling of Determinantal Point Processes without Eigendecomposition

C. Launay, B. Galerne, A. Desolneux.

Journal of Applied Probability, JAP 57.4, December 2020 [publication, arXiv version,project webpage].

Discrete determinantal point processes and their application to image processing

C. Launay.

PhD thesis, June 2020 [access on tel].

Determinantal Patch Processes for Texture Synthesis

C. Launay, A. Leclaire.

Proceedings for the GRETSI 2019 Conference (Aug. 2019, Lille, France) [pdf, project webpage].

Etude de la Répulsion des Processus Pixelliques Déterminantaux

A. Desolneux, B. Galerne, C. Launay.

Proceedings for the GRETSI 2017 Conference (Sept. 2017, Juan-les-Pins, France) [pdf, presented poster].

Recent communications

Imaging in Paris Seminar, Texture Modeling: Self-Similar Gaussian Fields and Monogenic Signal, Paris, December 2023.

Cristolien Seminar on Multifractal Analysis, Texture Modeling: Self-Similar Gaussian Fields and Monogenic Signal, Créteil, November 2023.

GRETSI '23 Conference, Texture Modeling: Self-Similar Gaussian Fields and Monogenic Signal, Grenoble, September 1, 2023.

Stochastic Geometry days, Texture Modeling: Self-Similar Gaussian Fields and Monogenic Signal, Dijon, June 15, 2023.

SPACE Seminar, Determinantal point processes and their application to image processing, Université de Tours, March 17, 2023.

LMBA Seminar, Determinantal point processes and their application to image processing, Université Bretagne Sud, Vannes, March 10, 2023.

CRCNS PI Meeting, Unsupervised Spatio-Temporal Integration Captures Perceptual Grouping Stability and Uncertainty, Atlanta, Georgia, United States, October 27, 2022.

ICIP22 Conference, Static and Dynamic Segmentation Based on Flexibly Regularized Mixture Models, Bordeaux, France, October 17, 2022.

NeuroAILab, Static and Dynamic Segmentation Based on Flexibly Regularized Mixture Models, Standford University, United States, February 2, 2022.

MAS2020 Conference, Processus pixelliques déterminantaux : Synthèse de textures et inférence, Université d'Orléans, France. August 27, 2021.

Probability, Statistics and Applications Seminar, LMA, Determinantal Point Processes, exact sampling and application, Université de Poitiers, France. Febrary 4, 2021.

Teaching

2019-2020

Introduction aux probabilités, (Introduction to probability) Licence 2. Cours assuré par Nathaël Gozlan.

TD1 : Modèle probabiliste
TD2 : Probabilité sur un ensemble fini, probabilités conditionnelles et événements indépendants
TD3 : Variables aléatoires discrètes (1)
TD4 : Variables aléatoires discrètes (2)
TD5 : Variables aléatoires continues

Mathématiques et Calcul 2 (MC2, Mathematics and arithmetics), Licence 1. Cours assuré par Marcela Szopos.

TD1 : Intégrales et primitives
TD2 : Intégrales convergentes
TD3 : Séries numériques
TD4 : Séries entières
TD5 : Equations différentielles

2016-2019

Mathematics and arithmetics (MC2) 64 hours per year, Licence 1. Teaching assistant for the courses of Prof. Annie Raoult, Prof. Florent Benaych-Georges and Prof. Marcela Szopos, Université Paris Descartes, UFR Mathématiques et Informatique :
Mathematics and Arithmetics (linear algebra, determinants, integrals and primitives, convergent integrals, numerical series, power series, differencial equations).

Claire Launay

Associate Professor in Applied Mathematics for Image Processing

LMBA, Université Bretagne Sud

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Research interests

Background

Research

Preprints

Publications

Recent communications

Teaching

2019-2020

2016-2019

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