Gabriel Peyré

CoRR, 2024

Transformers are Universal In-context Learners.

[BibT_eX]

[DOI]

Takashi Furuya

Maarten V. de Hoop

CoRR, 2024

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport.

[BibT_eX]

[DOI]

Raphaël Barboni

CoRR, 2024

How do Transformers Perform In-Context Autoregressive Learning ?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows.

[BibT_eX]

[DOI]

Sibylle Marcotte

Rémi Gribonval

Proceedings of the Forty-first International Conference on Machine Learning, 2024

How Smooth Is Attention?

[BibT_eX]

[DOI]

Valérie Castin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparsistency for inverse optimal transport.

[BibT_eX]

[DOI]

Francisco Andrade

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport.

[BibT_eX]

[DOI]

Othmane Sebbouh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

The Geometry of Off-the-Grid Compressed Sensing.

[BibT_eX]

[DOI]

Found. Comput. Math., February, 2023

Smooth over-parameterized solvers for non-smooth structured optimization.

[BibT_eX]

[DOI]

Math. Program., 2023

Understanding the Regularity of Self-Attention with Optimal Transport.

[BibT_eX]

[DOI]

Valérie Castin

CoRR, 2023

Test like you Train in Implicit Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Abide by the law and follow the flow: conservation laws for gradient flows.

[BibT_eX]

[DOI]

Sibylle Marcotte

Rémi Gribonval

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Unbalanced Optimal Transport, from Theory to Numerics.

[BibT_eX]

[DOI]

CoRR, 2022

Optimal transport improves cell-cell similarity inference in single-cell omics data.

[BibT_eX]

[DOI]

Geert-Jan Huizing

Laura Cantini

Bioinform., 2022

Do Residual Neural Networks discretize Neural Ordinary Differential Equations?

[BibT_eX]

[DOI]

Michael E. Sander

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On global convergence of ResNets: From finite to infinite width using linear parameterization.

[BibT_eX]

[DOI]

Raphaël Barboni

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs.

[BibT_eX]

[DOI]

Meyer Scetbon

Proceedings of the International Conference on Machine Learning, 2022

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors.

[BibT_eX]

[DOI]

Geert-Jan Huizing

Laura Cantini

Proceedings of the International Conference on Machine Learning, 2022

Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Randomized Stochastic Gradient Descent Ascent.

[BibT_eX]

[DOI]

Othmane Sebbouh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sinkformers: Transformers with Doubly Stochastic Attention.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Fast and accurate optimization on the orthogonal manifold without retraction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Ground Metric Learning on Graphs.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors.

[BibT_eX]

[DOI]

Geert-Jan Huizing

Laura Cantini

CoRR, 2021

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smooth Bilevel Programming for Sparse Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Low-Rank Sinkhorn Factorization.

[BibT_eX]

[DOI]

Meyer Scetbon

Proceedings of the 38th International Conference on Machine Learning, 2021

Momentum Residual Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Distribution-Based Invariant Deep Networks for Learning Meta-Features.

[BibT_eX]

[DOI]

Gwendoline de Bie

Herilalaina Rakotoarison

Michèle Sebag

CoRR, 2020

Online Sinkhorn: Optimal Transport distances from sample streams.

[BibT_eX]

[DOI]

Arthur Mensch

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Faster Wasserstein Distance Estimation with the Sinkhorn Divergence.

[BibT_eX]

[DOI]

Lénaïc Chizat

Pierre Roussillon

Flavien Léger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Super-efficiency of automatic differentiation for functions defined as a minimum.

[BibT_eX]

[DOI]

Thomas Moreau

Proceedings of the 37th International Conference on Machine Learning, 2020

Wasserstein Control of Mirror Langevin Monte Carlo.

[BibT_eX]

[DOI]

Kelvin Shuangjian Zhang

Marcelo Pereyra

Proceedings of the Conference on Learning Theory, 2020

2019

MultiDimensional Sparse Super-Resolution.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2019

A Low-Rank Approach to Off-the-Grid Sparse Superresolution.

[BibT_eX]

[DOI]

Paul Catala

SIAM J. Imaging Sci., 2019

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2019

Computational Optimal Transport.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2019

Degrees of freedom for off-the-grid sparse estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Sinkhorn Divergences for Unbalanced Optimal Transport.

[BibT_eX]

[DOI]

Jean Feydy

Alain Trouvé

CoRR, 2019

Universal Invariant and Equivariant Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Geometric Losses for Distributional Learning.

[BibT_eX]

[DOI]

Arthur Mensch

Mathieu Blondel

Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Deep Networks.

[BibT_eX]

[DOI]

Gwendoline de Bie

Proceedings of the 36th International Conference on Machine Learning, 2019

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Sample Complexity of Sinkhorn Divergences.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.

[BibT_eX]

[DOI]

Jean Feydy

Shun-ichi Amari

Alain Trouvé

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Model Consistency for Learning with Mirror-Stratifiable Regularizers.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Model Consistency of Partly Smooth Regularizers.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Semidual Regularized Optimal Transport.

[BibT_eX]

[DOI]

SIAM Rev., 2018

Sensitivity Analysis for Mirror-Stratifiable Convex Functions.

[BibT_eX]

[DOI]

Jérôme Malick

SIAM J. Optim., 2018

Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.

[BibT_eX]

[DOI]

Morgan A. Schmitz

Matthieu Heitz

Nicolas Bonneel

SIAM J. Imaging Sci., 2018

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.

[BibT_eX]

[DOI]

Neural Comput., 2018

Scaling algorithms for unbalanced optimal transport problems.

[BibT_eX]

[DOI]

Lenaïc Chizat

Bernhard Schmitzer

Math. Comput., 2018

An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics.

[BibT_eX]

[DOI]

Lenaïc Chizat

Bernhard Schmitzer

Found. Comput. Math., 2018

Semi-dual Regularized Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2018

A Dual Certificates Analysis of Compressive Off-the-Grid Recovery.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Generative Models with Sinkhorn Divergences.

[BibT_eX]

[DOI]

Aude Genevay

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2017

Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.

[BibT_eX]

[DOI]

SIAM J. Optim., 2017

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2017

JMIV Special Issue Mathematics and Image Analysis.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

A Low-Rank Approach to Off-The-Grid Sparse Deconvolution.

[BibT_eX]

[DOI]

Paul Catala

CoRR, 2017

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.

[BibT_eX]

[DOI]

Morgan A. Schmitz

Matthieu Heitz

Nicolas Bonneel

CoRR, 2017

Optimal Transport for Diffeomorphic Registration.

[BibT_eX]

[DOI]

Jean Feydy

Benjamin Charlier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Entropic metric alignment for correspondence problems.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

Wasserstein barycentric coordinates: histogram regression using optimal transport.

[BibT_eX]

[DOI]

Nicolas Bonneel

ACM Trans. Graph., 2016

Wasserstein Loss for Image Synthesis and Restoration.

[BibT_eX]

[DOI]

Guillaume Tartavel

Yann Gousseau

SIAM J. Imaging Sci., 2016

Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics.

[BibT_eX]

[DOI]

Giacomo Nardi

SIAM J. Imaging Sci., 2016

A Smoothed Dual Approach for Variational Wasserstein Problems.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Convergence rates with inexact non-expansive operators.

[BibT_eX]

[DOI]

Math. Program., 2016

Quantum Optimal Transport for Tensor Field Processing.

[BibT_eX]

[DOI]

Lenaïc Chizat

Pierre-Yves Gousenbourger

Justin Solomon

CoRR, 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).

[BibT_eX]

[DOI]

Francesco Caltagirone

Valerio Cambareri

Cecile Chenot

Vladimir S. Crnojevic

Carlos A. Gomez Gonzalez

Adriana Gonzalez

Mads Græsbøll Christensen

Tobias Lindstrøm Jensen

Andre Manoel

Hassan Mansour

Ali Mohammad-Djafari

Amirafshar Moshtaghpour

CoRR, 2016

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Optimization for Large-scale Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sparse Support Recovery with Non-smooth Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gromov-Wasserstein Averaging of Kernel and Distance Matrices.

[BibT_eX]

[DOI]

Justin Solomon

Proceedings of the 33nd International Conference on Machine Learning, 2016

Fast Dictionary Learning with a Smoothed Wasserstein Loss.

[BibT_eX]

[DOI]

Antoine Rolet

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Convolutional wasserstein distances: efficient optimal transportation on geometric domains.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

Iterative Bregman Projections for Regularized Transportation Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2015

Entropic Approximation of Wasserstein Gradient Flows.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Variational Texture Synthesis with Sparsity and Spectrum Constraints.

[BibT_eX]

[DOI]

Guillaume Tartavel

Yann Gousseau

J. Math. Imaging Vis., 2015

Guest Editorial: Mathematics and Image Analysis.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2015

Sliced and Radon Wasserstein Barycenters of Measures.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2015

Exact Support Recovery for Sparse Spikes Deconvolution.

[BibT_eX]

[DOI]

Found. Comput. Math., 2015

Sparse Spikes Deconvolution on Thin Grids.

[BibT_eX]

[DOI]

CoRR, 2015

Support Recovery for Sparse Deconvolution of Positive Measures.

[BibT_eX]

[DOI]

Quentin Denoyelle

CoRR, 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Biologically Inspired Dynamic Textures for Probing Motion Perception.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Optimal Transport Averaging of Neuroimaging Data.

[BibT_eX]

[DOI]

Alexandre Gramfort

Proceedings of the Information Processing in Medical Imaging, 2015

The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Synthesizing and Mixing Stationary Gaussian Texture Models.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Optimal Transport with Proximal Splitting.

[BibT_eX]

[DOI]

Nicolas Papadakis

Édouard Oudet

SIAM J. Imaging Sci., 2014

Regularized Discrete Optimal Transport.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2014

Low Complexity Regularization of Linear Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2014

Partly Smooth Regularization of Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2014

The Degrees of Freedom of Partly Smooth Regularizers.

[BibT_eX]

[DOI]

Christophe De Vleeschouwer

Charles Dossal

CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

[BibT_eX]

[DOI]

Laurent Jacques

Jean-François Determe

CoRR, 2014

Local Linear Convergence of Forward-Backward under Partial Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the convergence rates of proximal splitting algorithms.

[BibT_eX]

[DOI]

Mohamed-Jalal Fadili

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Robust Sparse Analysis Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

A Generalized Forward-Backward Splitting.

[BibT_eX]

[DOI]

Hugo Raguet

SIAM J. Imaging Sci., 2013

On growth and formlets: Sparse multi-scale coding of planar shape.

[BibT_eX]

[DOI]

Image Vis. Comput., 2013

Robust Polyhedral Regularization

[BibT_eX]

[DOI]

CoRR, 2013

Stable Recovery with Analysis Decomposable Priors

[BibT_eX]

[DOI]

Mohamed-Jalal Fadili

Joseph Salmon

CoRR, 2013

Model Selection with Piecewise Regular Gauges.

[BibT_eX]

[DOI]

CoRR, 2013

Constrained Sparse Texture Synthesis.

[BibT_eX]

[DOI]

Guillaume Tartavel

Yann Gousseau

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Static and Dynamic Texture Mixing Using Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Regularized Discrete Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012

Nonlocal Active Contours.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

The degrees of freedom of the Group Lasso for a General Design

[BibT_eX]

[DOI]

Charles Dossal

CoRR, 2012

Risk estimation for matrix recovery with spectral regularization

[BibT_eX]

[DOI]

CoRR, 2012

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Compact representations of stationary dynamic textures.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Wasserstein active contours.

[BibT_eX]

[DOI]

Julien Rabin

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Unbiased risk estimation for sparse analysis regularization.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Total Variation Projection With First Order Schemes.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity.

[BibT_eX]

[DOI]

Signal Process., 2011

Locally Parallel Texture Modeling.

[BibT_eX]

[DOI]

Pierre Maurel

Jean-François Aujol

SIAM J. Imaging Sci., 2011

A Review of Adaptive Image Representations.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2011

JMIV Special Issue - Mathematics and Image Analysis.

[BibT_eX]

[DOI]

Joachim Weickert

J. Math. Imaging Vis., 2011

Compressive Wave Computation.

[BibT_eX]

[DOI]

Laurent Demanet

Found. Comput. Math., 2011

Matching 2D and 3D articulated shapes using the eccentricity transform.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2011

The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2011

The Numerical Tours of Signal Processing Part 2: Multiscale Processings.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2011

The Numerical Tours of Signal Processing.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2011

The degrees of freedom of penalized l1 minimization

[BibT_eX]

[DOI]

CoRR, 2011

Sharp Support Recovery from Noisy Random Measurements by L1 minimization

[BibT_eX]

[DOI]

CoRR, 2011

Wasserstein Barycenter and Its Application to Texture Mixing.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Non-local Active Contours.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Wasserstein regularization of imaging problem.

[BibT_eX]

[DOI]

Julien Rabin

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Non-local segmentation and inpaiting.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Adaptive structured block sparsity via dyadic partitioning.

[BibT_eX]

[DOI]

Christophe Chesneau

Proceedings of the 19th European Signal Processing Conference, 2011

Group sparsity with overlapping partition functions.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Texture Segmentation via Non-local Non-parametric Active Contours.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010

Best basis compressed sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Learning the Morphological Diversity.

[BibT_eX]

[DOI]

Jean-Luc Starck

SIAM J. Imaging Sci., 2010

Texture Synthesis with Grouplets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Derivatives with respect to metrics and applications: subgradient marching algorithm.

[BibT_eX]

[DOI]

Numerische Mathematik, 2010

Geodesic Methods in Computer Vision and Graphics.

[BibT_eX]

[DOI]

Found. Trends Comput. Graph. Vis., 2010

Separation of traveling waves in cortical networks using optical imaging.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Geodesic Shape Retrieval via Optimal Mass Transport.

[BibT_eX]

[DOI]

Julien Rabin

Proceedings of the Computer Vision - ECCV 2010, 2010

On growth and formlets: Sparse multi-scale coding of planar shape.

[BibT_eX]

[DOI]

Timothy D. Oleskiw

James H. Elder

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Numerical approximation of continuous traffic congestion equilibria.

[BibT_eX]

[DOI]

Networks Heterog. Media, 2009

Sparse Modeling of Textures.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2009

Manifold models for signals and images.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2009

Best basis denoising with non-stationary wavelet packets.

[BibT_eX]

[DOI]

Nizar Ouarti

Proceedings of the International Conference on Image Processing, 2009

Image compression with anisotropic triangulations.

[BibT_eX]

[DOI]

Sébastien Bougleux

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Locally Parallel Textures Modeling with Adapted Hilbert Spaces.

[BibT_eX]

[DOI]

Pierre Maurel

Jean-François Aujol

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Extraction of tubular structures over an orientation domain.

[BibT_eX]

[DOI]

Mickaël Péchaud

Renaud Keriven

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Image Processing with Nonlocal Spectral Bases.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2008

Non-local Regularization of Inverse Problems.

[BibT_eX]

[DOI]

Sébastien Bougleux

Proceedings of the Computer Vision, 2008

Anisotropic Geodesics for Perceptual Grouping and Domain Meshing.

[BibT_eX]

[DOI]

Sébastien Bougleux

Proceedings of the Computer Vision, 2008

3D shape matching by geodesic eccentricity.

[BibT_eX]

[DOI]

Adrian Ion

Nicole M. Artner

Salvador B. López Mármol

Walter G. Kropatsch

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

A review of Bandlet methods for geometrical image representation.

[BibT_eX]

[DOI]

Stéphane Mallat

Numer. Algorithms, 2007

Texture Synthesis and Modification with a Patch-Valued Wavelet Transform.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Non-negative Sparse Modeling of Textures.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

Geodesic Remeshing Using Front Propagation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2006

Landmark-Based Geodesic Computation for Heuristically Driven Path Planning.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Surface compression with geometric bandelets.

[BibT_eX]

[DOI]

Stéphane Mallat

ACM Trans. Graph., 2005

Heuristically Driven Front Propagation for Geodesic Paths Extraction.

[BibT_eX]

[DOI]

Proceedings of the Variational, 2005

Discrete bandelets with geometric orthogonal filters.

[BibT_eX]

[DOI]

Stéphane Mallat

Proceedings of the 2005 International Conference on Image Processing, 2005

Geodesic Computation for Adaptive Remeshing.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Surface Segmentation Using Geodesic Centroidal Tesselation.

[BibT_eX]

[DOI]