Laurent Condat

发表

Semi-local total variation for regularization of inverse problems

Laurent Condat, Laurent Condat, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Convex super-resolution detection of lines in images

Laurent Condat, Valérie Perrier, Kevin Polisano, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Super-resolution of positive spikes by Toeplitz low-rank approximation

Laurent Condat, Akira Hirabayashi, Laurent Condat, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Three-directional box-splines: characterization and efficient evaluation

Dimitri Van De Ville, Laurent Condat, Laurent Condat, 2006, IEEE Signal Processing Letters.

Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique

Jocelyn Chanussot, Laurent Condat, Muhammad Murtaza Khan, 2008, IEEE Geoscience and Remote Sensing Letters.

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

Andrea Farina, Antonio Pifferi, Laurent Condat, 2017, European Conference on Biomedical Optics.

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

Nelly Pustelnik, Laurent Condat, Marion Foare, 2020, IEEE Transactions on Image Processing.

Beyond interpolation: optimal reconstruction by quasi-interpolation

Thierry Blu, Michael Unser, Laurent Condat, 2005, IEEE International Conference on Image Processing 2005.

2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis

Nelly Pustelnik, Patrick Flandrin, Laurent Condat, 2014, IEEE Transactions on Image Processing.

H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Dimitri Van De Ville, Brigitte Forster-Heinlein, Laurent Condat, 2007, 2007 IEEE International Conference on Image Processing.

Discrete Total Variation: New Definition and Minimization

Laurent Condat, Laurent Condat, 2017, SIAM J. Imaging Sci..

A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model

Nelly Pustelnik, Laurent Condat, Marion Foare, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Distributed Projection on the Simplex and $\ell _1$ Ball via ADMM and Gossip

Laurent Condat, Franck Iutzeler, Laurent Condat, 2018, IEEE Signal Processing Letters.

Image Fusion and Reconstruction of Compressed Data: A Joint Approach

Laurent Condat, Daniele Picone, Mauro Dalla Mura, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Distributed Proximal Splitting Algorithms with Rates and Acceleration pdf

Laurent Condat, Peter Richt'arik, Grigory Malinovsky, 2020, Frontiers in Signal Processing.

A Simple Trick to Speed Up and Improve the Non-Local Means

Laurent Condat, 2010 .

Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation

Laurent Condat, Akira Hirabayashi, Yosuke Hironaga, 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

The BitMap dataset: an open dataset on performance assessment of diffuse optics instruments

Alessandro Torricelli, Antonio Pifferi, Heidrun Wabnitz, 2019, European Conference on Biomedical Optics.

Hyperspectral image inpainting based on collaborative total variation

Jocelyn Chanussot, Paolo Addesso, Rocco Restaino, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Multifractal-based texture segmentation using variational procedure

Nelly Pustelnik, Patrice Abry, Laurent Condat, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

A Convex Approach to Superresolution and Regularization of Lines in Images

Laurent Condat, Valérie Perrier, Kevin Polisano, 2019, SIAM J. Imaging Sci..

Gradient Estimation Revitalized

Laurent Condat, Torsten Möller, Usman R. Alim, 2010, IEEE Transactions on Visualization and Computer Graphics.

Analysis of masks for compressed acquisitions in variational-based pansharpening

Laurent Condat, Daniele Picone, Mauro Dalla Mura, 2018 .

Reconstruction of derivatives: Error analysis and design criteria

Laurent Condat, 2011, 2011 19th European Signal Processing Conference.

Robust linear unmixing with enhanced sparsity

Jocelyn Chanussot, Wotao Yin, Laurent Condat, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Fast reconstruction from non-uniform samples in shift-invariant spaces

Laurent Condat, Annick Montanvert, Laurent Condat, 2006, 2006 14th European Signal Processing Conference.

Joint demosaicking and denoising by total variation minimization

Laurent Condat, Saleh Mosaddegh, Laurent Condat, 2012, 2012 19th IEEE International Conference on Image Processing.

A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

Laurent Condat, Laurent Condat, 2012, Journal of Optimization Theory and Applications.

A new color filter array with optimal sensing properties

Laurent Condat, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A Convex Approach to K-Means Clustering and Image Segmentation

Laurent Condat, Laurent Condat, 2017, EMMCVPR.

Méthodes d'approximation pour la reconstruction de signaux et le redimensionnement d'images. (Approximation methods for signal reconstruction and image resizing)

Laurent Condat, Laurent Condat, 2006 .

Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain

Laurent Condat, 2020, J. Approx. Theory.

Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Jocelyn Chanussot, Christian Jutten, Laurent Condat, 2012, EURASIP J. Adv. Signal Process..

From Local SGD to Local Fixed Point Methods for Federated Learning pdf

Laurent Condat, Dmitry Kovalev, Peter Richtarik, 2020, ICML.

A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors

Jocelyn Chanussot, José M. Bioucas-Dias, Laurent Condat, 2014, IEEE Transactions on Image Processing.

Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy

Nelly Pustelnik, Jérôme Boulanger, Laurent Condat, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Pan-sharpening using induction

Jocelyn Chanussot, Laurent Condat, Muhammad Murtaza Khan, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

MAP recovery of polynomial splines from compressive samples and its application to vehicular signals

Satoshi Makido, Laurent Condat, Akira Hirabayashi, 2013, Optics & Photonics - Optical Engineering + Applications.

Time-resolved diffuse optical tomography: a novel method to compute datatypes allows better absorption quantification

Pierre Jallon, Laurent Condat, Lionel Hervé, 2019, European Conference on Biomedical Optics.

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Laurent Condat, Laurent Condat, 2011, IEEE Transactions on Image Processing.

A generic variational approach for demosaicking from an arbitrary color filter array

Laurent Condat, Laurent Condat, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations

Laurent Condat, Akira Hirabayashi, Jeremy White, 2015, 2015 IEEE Workshop on Signal Processing Systems (SiPS).

Quantitative Error Analysis for the Reconstruction of Derivatives

Laurent Condat, Torsten Möller, Laurent Condat, 2011, IEEE Transactions on Signal Processing.

Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Jocelyn Chanussot, Christian Jutten, Laurent Condat, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

A framework for image magnification: induction revisited

Laurent Condat, Annick Montanvert, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Color filter array design using random patterns with blue noise chromatic spectra

Laurent Condat, Laurent Condat, 2010, Image Vis. Comput..

A new random color filter array with good spectral properties

Laurent Condat, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

Dimitri Van De Ville, Laurent Condat, 2007, IEEE Transactions on Image Processing.

A Convex Lifting Approach to Image Phase Unwrapping

Laurent Condat, Akira Hirabayashi, Daichi Kitahara, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Proximal Splitting Algorithms: A Tour of Recent Advances, with New Twists.

Laurent Condat, Akira Hirabayashi, Daichi Kitahara, 2020 .

Fully reversible image rotation by 1-D filtering

Dimitri Van De Ville, Laurent Condat, 2008, 2008 15th IEEE International Conference on Image Processing.

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

Nelly Pustelnik, Laurent Condat, Laurent Condat, 2017, IEEE Signal Processing Letters.

Digital (or touch-less) fingerprint lifting using structured light

Luc Brun, Laurent Condat, Saleh Mosaddegh, 2015, CVPR 2015.

Collaborative total variation for hyperspectral pansharpening

Jocelyn Chanussot, Paolo Addesso, Rocco Restaino, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Recovery of nonuniformdirac pulses from noisy linear measurements

Laurent Condat, Akira Hirabayashi, Yosuke Hironaga, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Pansharpening using total variation regularization

Jocelyn Chanussot, Laurent Condat, Junshi Xia, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity

Laurent Condat, Akira Hirabayashi, Jeremy White, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

On-The-Fly Approximation of Multivariate Total Variation Minimization

Nelly Pustelnik, Patrice Abry, Laurent Condat, 2015, IEEE Transactions on Signal Processing.

Texture modeling by Gaussian fields with prescribed local orientation

Laurent Condat, Valérie Perrier, Kevin Polisano, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

A Compact Image Magnification Method with Preservation of Preferential Components

Laurent Condat, Akira Hirabayashi, 2007, 2007 IEEE International Conference on Image Processing.

A forward-backward view of some primal-dual optimization methods in image recovery

Patrick L. Combettes, Bang Công Vu, Jean-Christophe Pesquet, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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

Takashi Ijiri, Laurent Condat, Akira Hirabayashi, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

A Direct Algorithm for 1-D Total Variation Denoising

Laurent Condat, Laurent Condat, 2013, IEEE Signal Processing Letters.

Hyperspectral pansharpening using convex optimization and collaborative total variation regularization

Jocelyn Chanussot, Paolo Addesso, Rocco Restaino, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A Generic Proximal Algorithm for Convex Optimization—Application to Total Variation Minimization

Laurent Condat, Laurent Condat, 2014, IEEE Signal Processing Letters.

One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions

Laurent Condat, Akira Hirabayashi, Daichi Kitahara, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines

Dimitri Van De Ville, Michael Unser, Laurent Condat, 2006, 2006 International Conference on Image Processing.

Segmentation d'image par optimisation proximale

Nelly Pustelnik, Laurent Condat, Laurent Condat, 2015 .

Hexagonal versus orthogonal lattices: a new comparison using approximation theory

Thierry Blu, Dimitri Van De Ville, Laurent Condat, 2005, IEEE International Conference on Image Processing 2005.

A study on interlaced sampling with unknown offsets

Laurent Condat, Akira Hirabayashi, Laurent Condat, 2008, 2008 16th European Signal Processing Conference.

A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising

Laurent Condat, Laurent Condat, 2010, 2010 IEEE International Conference on Image Processing.

A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy

Souleymen Sahnoun, Nelly Pustelnik, Jérôme Boulanger, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Optimal Gradient Compression for Distributed and Federated Learning pdf

Laurent Condat, Peter Richt'arik, Mher Safaryan, 2020, ArXiv.

Pansharpening of images acquired with color filter arrays

Laurent Condat, Mauro Dalla Mura, Daniele Picone, 2018, Photonics Europe.

Reconstruction from non-uniform samples: A direct, variational approach in shift-invariant spaces

Laurent Condat, Laurent Condat, 2013, Digit. Signal Process..

Torwards a general formulation for over-sampling and under-sampling

Laurent Condat, Akira Hirabayashi, 2007, 2007 15th European Signal Processing Conference.

Robust Spike Train Recovery from Noisy Data by Structured Low Rank Approximation

Laurent Condat, Akira Hirabayashi, Laurent Condat, 2013 .

A Fast Projection onto the Simplex and the l 1 Ball

Laurent Condat, Laurent Condat, 2015 .

New optimized spline functions for interpolation on the hexagonal lattice

Dimitri Van De Ville, Laurent Condat, 2008, 2008 15th IEEE International Conference on Image Processing.

Tree of Shapes Cut for Material Segmentation Guided by a Design

Laurent Condat, Julien Baderot, Mauro Dalla Mura, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sampling and recovery of continuous sparse signals by maximum likelihood estimation

Laurent Condat, Akira Hirabayashi, Yosuke Hironaga, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms pdf

Laurent Condat, Konstantin Mishchenko, Adil Salim, 2020, ArXiv.

MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization pdf

Laurent Condat, Peter Richt'arik, 2021, ArXiv.

An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints

Laurent Condat, Adil Salim, Dmitry Kovalev, 2021 .

Distributed Proximal Splitting Algorithms with Rates and Acceleration

Laurent Condat, Peter Richt'arik, Grigory Malinovsky, 2020, Frontiers in Signal Processing.

Tikhonov Regularization of Circle-Valued Signals pdf

Laurent Condat, 2021, ArXiv.