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

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>

A Convex Approach to K-means Clustering and Image Segmentation

Laurent Condat. A Convex Approach to K-means Clustering and Image Segmentation. [Research Report] Gipsa-Lab. 2017. <hal-01504799v2>

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>

Sequential image completion for high-speed large-pixel number sensing

Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat. Sequential image completion for high-speed large-pixel number sensing. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. 2016, Proc. of Eusipco 2016. <hal-01398411>

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>

Hyperspectral pansharpening using convex optimization and collaborative total variation regularization

Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, G Vivone, et al.. Hyperspectral pansharpening using convex optimization and collaborative total variation regularization. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, United States. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing proceedings, 2016. <hal-01399399>

Multifractal-based texture segmentation using variational procedure

Jordan Frecon, Nelly Pustelnik, Herwig Wendt, Laurent Condat, Patrice Abry. Multifractal-based texture segmentation using variational procedure. IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2016), Jul 2016, Bordeaux, France. pp.1 - 5, 2016, Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th. <10.1109/IVMSPW.2016.7528187>. <hal-01398865>

Fast Projection onto the Simplex and the l1 Ball

Laurent Condat. Fast Projection onto the Simplex and the l1 Ball. Mathematical Programming, Series A, Springer, 2016, 158 (1), pp.575-585. <http://link.springer.com/article/10.1007/s10107-015-0946-6>. <10.1007/s10107-015-0946-6>. <hal-01056171v2>

On-The-Fly Approximation of Multivariate Total Variation Minimization

Jordan Frecon, Nelly Pustelnik, Patrice Abry, Laurent Condat. On-The-Fly Approximation of Multivariate Total Variation Minimization. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, 64, pp.2355 - 2364. <10.1109/TSP.2016.2516962>. <hal-01398864>

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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