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

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〉

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〉

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〉

Proximity Operator of a Sum of Functions; Application to Depth Map Estimation

Nelly Pustelnik, Laurent Condat. Proximity Operator of a Sum of Functions; Application to Depth Map Estimation. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (12), pp.1827 - 1831. 〈hal-01570182v2〉

Une approche convexe du partitionnement de données et de la segmentation d'image

Laurent Condat. Une approche convexe du partitionnement de données et de la segmentation d'image. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. 2017 - GRETSI - Actes de Colloque. 〈hal-01656854〉

Discrete Total Variation: New Definition and Minimization

Laurent Condat. Discrete Total Variation: New Definition and Minimization. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2017, 10 (3), pp.1258-1290. 〈http://epubs.siam.org/doi/10.1137/16M1075247〉. 〈10.1137/16M1075247〉. 〈hal-01309685v3〉

Wavelet-based orientation of localizable Gaussian fields

Kévin Polisano, Marianne Clausel, Valérie Perrier, Laurent Condat. Wavelet-based orientation of localizable Gaussian fields. 2017. 〈hal-01570978〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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