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Publications

Affichage des publications 651 à 660 sur 1099 au total

Statistiques

Processus de rang et applications statistiques en grande dimension

Ce projet de recherche propose de développer des outils mathématiques et algorithmiques pour étudier et comparer deux jeux de données complexes en grande dimension: vecteurs, signaux multivariés, trajectoires, signaux sur graphes. Il répond à des…

Myrto Limnios

Mathematics

Single pass eikonal solver in tilted transversely anisotropic media

We present a numerical scheme to solve the eikonal equation in a Tilted Transversely Isotropic (TTI) medium. The solution to this equation corresponds to the first arrival time of seismic pressure waves in the high frequency asymptotic regime, whose…

François Desquilbet, Jean-Marie Mirebeau, Ludovic Métivier

Machine Learning

Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?

Supervised training has led to state-of-the-art results in image and video denoising. However, its application to real data is limited since it requires large datasets of noisy-clean pairs that are difficult to obtain. For this reason, networks are…

Valéry Dewil, Arnaud Barral, Gabriele Facciolo, Pablo Arias

The 1st Workshop on Vision Datasets Understanding (CVPR 2022) -

Mathematics

Monotone discretization of the Monge–Ampère equation of optimal transport

We design a monotone finite difference discretization of the second boundary value problem for the Monge–Ampère equation, whose main application is optimal transport. We prove the existence of solutions to a class of monotone numerical schemes for…

Guillaume Bonnet, Jean-Marie Mirebeau

ESAIM: Mathematical Modelling and Numerical Analysis -

Machine Learning

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Attributed graphs are used to model a wide variety of real-world networks. Recent graph convolutional network-based representation learning methods have set state-of-the-art results on the clustering of attributed graphs. However, these approaches…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining -

Artificial Intelligence

An assessment of Multi Object Tracking on low framerate conditions

La performance des méthodes de l'état de l'art en suivi multi-objets est généralement montrée sur des vidéos à fréquence image élevée, où les objets bougent très peu d'une image à l'autre. Il y a cependant des intérêts à travailler dans le cas plus…

Anis Yassine Ben Mabrouk, Gabriele Facciolo, Rafael Grompone von Gioi, Axel Davy