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

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. IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, 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〉

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-01782346〉

Pansharpening of images acquired with color filter arrays

Daniele Picone, Mauro Dalla Mura, Laurent Condat. Pansharpening of images acquired with color filter arrays. SPIE Photonics Europe, Apr 2018, Strasbourg, France. 〈hal-01851522〉

A new proximal method for joint image restoration and edge detection with the Mumford-Shah model

Marion Foare, Nelly Pustelnik, Laurent Condat. A new proximal method for joint image restoration and edge detection with the Mumford-Shah model. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Alberta, Canada. ICASSP 2018 - Proceedings, 2018, 〈https://2018.ieeeicassp.org/default.asp〉. 〈hal-01736997〉

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, In press, 〈10.1109/LSP.2018.2870951〉. 〈hal-01876986〉

A Convex Approach to K-means Clustering and Image Segmentation

Laurent Condat. A Convex Approach to K-means Clustering and Image Segmentation. 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Oct 2017, Venice, Italy. 2017. 〈hal-01504799v3〉

A convex approach to super-resolution and regularization of lines in images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. A convex approach to super-resolution and regularization of lines in images. [Technical Report] Laboratoire Jean Kuntzmann (LJK). 2017. 〈hal-01599010v2〉

Robust linear unmixing with enhanced sparsity

Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, et al.. Robust linear unmixing with enhanced sparsity. 24th IEEE International Conference on Image Processing (ICIP 2017), Sep 2017, Beijing, China. 〈hal-01656640〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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