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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 991 à 1000 sur 1103 au total

Computer Science

Taming Nuclear Complexity with a Committee of Multilayer Neural Networks

We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the one achieved by state-of-the-art nuclear energy density functionals …

Raphaël-David Lasseri, David Regnier, Jean-Paul Ebran, Antonin Penon

Physical Review Letters -

Computer Vision and Pattern Recognition

Robust estimation of local affine maps and its applications to image matching

The classic approach to image matching consists in the detection, description and matching of keypoints. This defines a zero-order approximation of the mapping between two images, determined by corresponding point coordinates. But the patches around…

Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Julie Delon

Winter Conference on Applications of Computer Vision (WACV ’20) -

Medical Imaging

Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles

This chapter provides an overview of some mathematical and computational models that have been proposed over the past few years for defining data attachment terms on shape spaces of curves or surfaces. In all these models shapes are seen as elements…

Nicolas Charon, Benjamin Charlier, Joan Glaunès, Pietro Gori, Pierre Roussillon

Riemannian Geometric Statistics in Medical Image Analysis -

Optimization and Control

A Wasserstein-type distance in the space of Gaussian Mixture Models

In this paper we introduce a Wasserstein-type distance on the set of Gaussian mixture models. This distance is defined by restricting the set of possible coupling measures in the optimal transport problem to Gaussian mixture models. We derive a very…

Julie Delon, Agnès Desolneux

SIAM Journal on Imaging Sciences -

Oceanography

A new L-band passive radiometer for earth observation : SMOS-high resolution (SMOS-HR)

The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) has been providing the longest consistent data record of passive L-band (1.4 GHz) observations for more than ten years. SMOS, as well as the NASA missions SMAP and Aquarius have…

N.J. Rodriguez-Fernandez, Eric Anterrieu, F. Cabot, Jacqueline Boutin, Ghislain Picard, T. Pellarin, O. Merlin, Jérôme Vialard, Frédéric Vivier, J. Costeraste, B. Palacin, R. Rodriguez-Suquet, T. Amiot, A. Khaazal, B. Rouge, J.M. Morel, Miguel Colom, T. Decoopman, N. Jeannin, R. Caujolle, M.J. Escorihuela, A. Al Bitar, P. Richaume, Arnaud Mialon, C. Suere, Yann H. Kerr

IGARRS.International Geoscience and Remote Sensing Symposium -

Software Engineering

Scholarly Infrastructures for Research Software

The TF on Scholarly Infrastructures of Research Software, as part of the Architecture WG of the European Open Science Cloud (EOSC) Executive Board, has established a set of recommendations to allow EOSC to include software, next to other research…

Roberto Di Cosmo, Jose Benito Gonzalez Lopez, Jean-François Abramatic, Kay Graf, Miguel Colom, Paolo Manghi, Melissa Harrison, Yannick Barborini, Ville Tenhunen, Michael Wagner, Wolfgang Dalitz, Jason Maassen, Carlos Martínez Ortiz, Elisabetta Ronchieri, Sam Yates, Moritz Schubotz, Leonardo Candela, Martin Fenner, Eric Jeangirard

Image Processing

Local JPEG Grid Detector via Blocking Artifacts, a Forgery Detection Tool

Image JPEG compression leaves blocking artifact traces. This paper describes an algorithm that exploits those traces to locally recover the grid embedded in the image by the JPEG compression. The algorithm returns a list of grids associated with…

Tina Nikoukhah, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi

Image Processing On Line -

Statistics

An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics

Automatically finding suspicious regions in a potentially forged image by splicing, inpainting or copy-move remains a widely open problem. Blind detection neural networks trained on benchmark data are flourishing. Yet, these methods do not provide…

Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) -