Claire Launay

PhD Student - Université Paris Descartes

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I am a PhD student in Mathematics and image processing under the joint supervision of Bruno Galerne, maître de conférences (assistant professor) at the MAP5 laboratory, Université Paris Descartes, and Agnès Desolneux, CNRS Senior Research Scientist at the CMLA laboratory, ENS Paris Saclay.

Background

  • 2016-2017: PhD in Mathematics and image processing
  • April-September 2016: Internship at DxO Labs, in the advanced transversal research team, about HDR fusion
  • 2015-2016: Master of Mathematics, Computer Vision and Machine Learning, Université Paris Saclay
  • 2012-2015: Bachelor and "Master 1" in Applied Mathematics, Université Paris Descartes
  • 2010-2012: Undergraduate studies, Humanities and social science (Classe préparatoire BL), Lycée Guist'hau, Nantes
You can find a detailed version of my CV here.

Research


Research subject

I'm working on the application of Determinantal Point Processes (DPP) to the images framework, in particular to image synthesis.

Determinantal point processes are random sets of points that model repulsion between the points : they assign a higher occurrence probability to "repulsive" sets according to a specific similarity measure (a kernel). It is possible to entirely characterise the repulsion form of the process from this kernel. They can be sampled efficiently and exactly.

We study DPP in the 2D discrete framework of images, where the points are pixels. We want to determine if the use of these processes is consistent to synthesize images.


Publications

Etude de la répulsion des processus pixelliques déterminantaux
A. Desolneux, B. Galerne, C. Launay.
Communication pour le GRETSI 2017, (Sept. 2017, Juan-les-Pins, France), [pdf, presented poster].

Teaching


Contact


MAP5 (725-C1)
UFR Mathématiques-Informatique, Université Paris Descartes
45 Rue des Saints-Pères
75006 Paris, France
claire.launay at parisdescartes.fr

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