Antonin Chambolle

According to our database1, Antonin Chambolle authored at least 54 papers between 1994 and 2019.

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Bibliography

2019
Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives.
SIAM Journal on Optimization, 2019

On Representer Theorems and Convex Regularization.
SIAM Journal on Optimization, 2019

Total roto-translational variation.
Numerische Mathematik, 2019

Pointwise Besov Space Smoothing of Images.
Journal of Mathematical Imaging and Vision, 2019

On the convergence rate of some nonlocal energies.
CoRR, 2019

Robust supervised classification and feature selection using a primal-dual method.
CoRR, 2019

2018
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications.
SIAM Journal on Optimization, 2018

Convex Regularization and Representer Theorems.
CoRR, 2018

On Representer Theorems and Convex Regularization.
CoRR, 2018

2017
Regularity for the Optimal Compliance Problem with Length Penalization.
SIAM J. Math. Analysis, 2017

Accelerated Alternating Descent Methods for Dykstra-Like Problems.
Journal of Mathematical Imaging and Vision, 2017

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications.
CoRR, 2017

Occlusion detection in dense stereo estimation with convex optimization.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
On the ergodic convergence rates of a first-order primal-dual algorithm.
Math. Program., 2016

An introduction to continuous optimization for imaging.
Acta Numer., 2016

2015
Total Variation in Imaging.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm".
J. Optimization Theory and Applications, 2015

Continuous Matching via Vector Field Flow.
Comput. Graph. Forum, 2015

2014
Convex Relaxation of Vectorial Problems with Coupled Regularization.
SIAM J. Imaging Sciences, 2014

Adapted Basis for Nonlocal Reconstruction of Missing Spectrum.
SIAM J. Imaging Sciences, 2014

Properties of minimizers of the total variation and of the solutions of the total variation flow.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Supervised Descriptor Learning for Non-Rigid Shape Matching.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging.
Journal of Mathematical Imaging and Vision, 2013

2012
A Nonlocal Mean Curvature Flow and Its Semi-implicit Time-Discrete Approximation.
SIAM J. Math. Analysis, 2012

A Convex Approach to Minimal Partitions.
SIAM J. Imaging Sciences, 2012

A posteriori error estimates for the effective Hamiltonian of dislocation dynamics.
Numerische Mathematik, 2012

A convex representation for the vectorial Mumford-Shah functional.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing.
SIAM J. Imaging Sciences, 2011

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging.
Journal of Mathematical Imaging and Vision, 2011

Diagonal preconditioning for first order primal-dual algorithms in convex optimization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Global Solutions of Variational Models with Convex Regularization.
SIAM J. Imaging Sciences, 2010

Revisiting Energy Release Rates in Brittle Fracture.
J. Nonlinear Science, 2010

2009
Homogenization of interfacial energies and construction of plane-like minimizers in periodic media through a cell problem.
NHM, 2009

On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows.
International Journal of Computer Vision, 2009

Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

An algorithm for minimizing the Mumford-Shah functional.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A convex relaxation approach for computing minimal partitions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
Interaction of a Bulk and a Surface Energy with a Geometrical Constraint.
SIAM J. Math. Analysis, 2007

The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions.
Multiscale Modeling & Simulation, 2007

Total Variation Minimization and Graph Cuts for Moving Objects Segmentation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006
Convergence of an Algorithm for the Anisotropic and Crystalline Mean Curvature Flow.
SIAM J. Math. Analysis, 2006

Total Variation Minimization and Graph Cuts for Moving Objects Segmentation
CoRR, 2006

2005
Image Decomposition into a Bounded Variation Component and an Oscillating Component.
Journal of Mathematical Imaging and Vision, 2005

Dual Norms and Image Decomposition Models.
International Journal of Computer Vision, 2005

Total Variation Minimization and a Class of Binary MRF Models.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
An Algorithm for Total Variation Minimization and Applications.
Journal of Mathematical Imaging and Vision, 2004

A l1-Unified Variational Framework for Image Restoration.
Proceedings of the Computer Vision, 2004

2003
Image Decomposition Application to SAR Images.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2002
Computing the Equilibrium Configuration of Epitaxially Strained Crystalline Films.
SIAM Journal of Applied Mathematics, 2002

2001
Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space.
IEEE Trans. Image Processing, 2001

2000
Implementation of an adaptive finite-element approximation of the Mumford-Shah functional.
Numerische Mathematik, 2000

1998
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage.
IEEE Trans. Image Processing, 1998

1995
Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations.
SIAM Journal of Applied Mathematics, 1995

1994
Partial Differential Equations and Image Processing.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994


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