Laurent CONDAT
Chargé de Recherche CNRS
Equipe Architecture, Géométrie, Perception, Images, Gestes
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : laurent.condat@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1195
Tél.33 (0)4 76 82 62 52
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Une approche convexe de la super-résolution et de la régularisation de lignes 2D dans les images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. Une approche convexe de la super-résolution et de la régularisation de lignes 2D dans les images. 2019. ⟨hal-02068063⟩

A convex approach to superresolution and regularization of lines in images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. A convex approach to superresolution and regularization of lines in images. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2019, 12 (1), pp.211-258. ⟨10.1137/18M118116X⟩. ⟨hal-01599010v4⟩

Riesz-based orientation of localizable Gaussian fields

Kévin Polisano, Marianne Clausel, Valérie Perrier, Laurent Condat. Riesz-based orientation of localizable Gaussian fields. 2018. ⟨hal-01570978v2⟩

1D piecewise smooth function estimation with spline functions

Daichi Kitahara, Laurent Condat, Akira Hirabayashi. 1D piecewise smooth function estimation with spline functions. IEICE Signal Processing Symposium (SIP), Nov 2018, Tokyo, Japan. ⟨hal-01964396⟩

Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip

Franck Iutzeler, Laurent Condat. Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2018, 25 (11), pp.1650-1654. ⟨10.1109/LSP.2018.2870951⟩. ⟨hal-01876986⟩

Image fusion and reconstruction of compressed data: A joint approach

Daniele Picone, Laurent Condat, Florian Cotte, Mauro Dalla Mura. Image fusion and reconstruction of compressed data: A joint approach. 25th IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athenes, Greece. ⟨hal-01851515⟩

Analysis of masks for compressed acquisitions in variational-based pansharpening

Daniele Picone, Laurent Condat, Mauro Dalla Mura. Analysis of masks for compressed acquisitions in variational-based pansharpening. International Workshop on Compressed Sensing applied to Radar, Multimodal Sensing, and Imaging (CoSeRa), Sep 2018, Siegen, Germany. ⟨hal-01851407⟩

Nonsmooth Convex Optimization for Structured Illumination Microscopy Image Reconstruction

Jérôme Boulanger, Nelly Pustelnik, Laurent Condat, Lucie Sengmanivong, Tristan Piolot. Nonsmooth Convex Optimization for Structured Illumination Microscopy Image Reconstruction. Inverse Problems, IOP Publishing, 2018, 34 (9), pp.095004. ⟨http://iopscience.iop.org/article/10.1088/1361-6420/aaccca⟩. ⟨10.1088/1361-6420/aaccca⟩. ⟨hal-01274259v3⟩

Simulation of oriented patterns with prescribed local orientation using anisotropic Gaussian fields

Kévin Polisano, Marianne Clausel, Laurent Condat, Valérie Perrier. Simulation of oriented patterns with prescribed local orientation using anisotropic Gaussian fields. [Research Report] Laboratoire Jean Kuntzmann (LJK). 2018. ⟨hal-01819990⟩

Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford–Shah Model

Marion Foare, Nelly Pustelnik, Laurent Condat. Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford–Shah Model. 2018. ⟨hal-01782346v2⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal