J
Jérôme Darbon
Researcher at Brown University
Publications - 102
Citations - 4366
Jérôme Darbon is an academic researcher from Brown University. The author has contributed to research in topics: Optimization problem & Curse of dimensionality. The author has an hindex of 25, co-authored 97 publications receiving 3976 citations. Previous affiliations of Jérôme Darbon include Centre national de la recherche scientifique & École Normale Supérieure.
Papers
More filters
Journal ArticleDOI
Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
TL;DR: In this paper, the authors proposed simple and extremely efficient methods for solving the basis pursuit problem, which is used in compressed sensing, using Bregman iterative regularization, and they gave a very accurate solution after solving only a very small number of instances of the unconstrained problem.
Journal ArticleDOI
Shape-based hand recognition
TL;DR: Both the classification and the verification performances are found to be very satisfactory as it was shown that, at least for groups of about five hundred subjects, hand-based recognition is a viable secure access control scheme.
Proceedings ArticleDOI
Fast nonlocal filtering applied to electron cryomicroscopy
TL;DR: The denoising algorithm is a rewriting of the recently proposed nonlocal mean filter that builds on the separable property of neighborhood filtering to offer a fast parallel and vectorized implementation in contemporary shared memory computer architectures while reducing the theoretical computational complexity of the original filter.
Journal ArticleDOI
Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization
Jérôme Darbon,Marc Sigelle +1 more
TL;DR: A new and fast algorithm which computes an exact solution in the discrete framework of the discrete original problem is proposed and it is shown that minimization of total variation under L1 data fidelity term yields a self-dual contrast invariant filter.
Journal ArticleDOI
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows
Antonin Chambolle,Jérôme Darbon +1 more
TL;DR: This paper recalls in this paper how this is related to well-known approaches for mean curvature motion, introduced by Almgren et al. and shows how the corresponding problems can be solved with sub-pixel accuracy using Parametric Maximum Flow techniques.