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Publications

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

Affichage des publications 421 à 430 sur 1122 au total

Computer Science

Clustering for directed graphs using parametrized random walk diffusion kernels

Clustering based on the random walk operator has been proven effective for undirected graphs, but its generalization to directed graphs (digraphs) is much more challenging. Although the random walk operator is well-defined for digraphs, in most…

Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos

Image Processing

Implementing Handheld Burst Super-resolution

Nowadays, smartphone cameras capture bursts of raw photographs whenever the trigger is pressed. These photos are then fused to produce a single picture with higher quality. This paper details the implementation of the method "Handheld Multi-Frame…

Jamy Lafenetre, Gabriele Facciolo, Thomas Eboli

Image Processing On Line -

Neurons and Cognition

Comparison of vestibular input statistics during natural activities and while piloting an aircraft

The present study investigates the statistics and spectral content of natural vestibular stimuli experienced by healthy human subjects during three unconstrained activities. More specifically, we assessed how the characteristics of vestibular inputs…

Axel Roques, Yannick James, Ioannis Bargiotas, Dimitri Keriven Serpollet, Nicolas Vayatis, Pierre-Paul Vidal

Journal of Neurophysiology -

Image Processing

On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution

In this work, we study the problem of single-image superresolution (SISR) of Sentinel-2 imagery. We show that thanks to its unique sensor specification, namely the inter-band shift and alias, that deep-learning methods are able to recover fine…

Ngoc Long Nguyen, Jérémy Anger, Lara Raad, Bruno Galerne, Gabriele Facciolo

2023 International Geoscience and Remote Sensing Symposium (IGARSS 2023) -

Image Processing

Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery

Image resolution is an important criterion for many applications based on satellite imagery. In this work, we adapt a state-of-the-art kernel regression technique for smartphone camera burst super-resolution to satellites. This technique leverages…

Jamy Lafenetre, Ngoc Long Nguyen, Gabriele Facciolo, Thomas Eboli

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

Image Processing

L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery

High-resolution satellite imagery is a key element for many Earth monitoring applications. Satellites such as Sentinel-2 feature characteristics that are favorable for super-resolution algorithms such as aliasing and band-misalignment. Unfortunately…

Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo

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

Computer Vision and Pattern Recognition

Demo system of the Image Processing On Line (IPOL) journal

Miguel Colom, Matías Abal, Jérémy Anger, José Arrecio, Martín Arévalo, Carlos Escobar, Vincent Firmin, Frédéric Glorieux, Stéphane Gratias, Karl Krissian, Nicolas Limare, Héctor Macías, Alexis Mongin, Nelson Monzón, Jyotsna Rajan

Machine Learning

Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces

Locally Linear Embedding is a dimensionality reduction method which relies on the conservation of barycentric alignments of neighbour points. It has been designed to learn the intrinsic structure of a set of points of a Euclidean space lying close…

Elodie Maignant, Alain Trouvé, Xavier Pennec

GSI 2023: Geometric Science of Information -