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

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-01599010〉

Robust linear unmixing with enhanced sparsity

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

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. GRETSI, Sep 2017, Juan-Les-Pins, France. 〈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〉

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. 2017. 〈hal-01570182v2〉

Performance evaluation of time-domain multispectral diffuse optical tomography in the reflection geometry

Judy Zouaoui, David Orive-Miguel, Laura Di Sieno, Lionel Hervé, Antonio Pifferi, et al.. Performance evaluation of time-domain multispectral diffuse optical tomography in the reflection geometry. European Conferences on Biomedical Optics (ECBO) , Jun 2017, Munich, Germany. 10412, pp.1041208 2017, Proceedings Diffuse Optical Spectroscopy and Imaging VI;. 〈hal-01611334〉

A Performance Comparison between Continuous-Wave and Time-Domain Diffuse Optical Tomography for Deep Inclusions by Using Small Source-Detector Separations

David Orive-Miguel, Jean-Marc Dinten, Jerome Mars, Laurent Condat, Lionel Hervé. A Performance Comparison between Continuous-Wave and Time-Domain Diffuse Optical Tomography for Deep Inclusions by Using Small Source-Detector Separations. 12e Journées Imagerie Optique Non-Conventionnelle (JIONC 2017), Mar 2017, Paris, France. 2017, 〈http://www.gdr-isis.fr/index.php?page=reunion&idreunion=330〉. 〈hal-01520731〉

Convex Super-Resolution Detection of Lines in Images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. Convex Super-Resolution Detection of Lines in Images. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. IEEE, pp.336-340, 〈10.1109/EUSIPCO.2016.7760265〉. 〈hal-01281979v2〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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