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Publications

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

Affichage des publications 41 à 50 sur 1426 au total

Machine Learning

Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance

In this paper, we consider the problem of computing the integral of a function on the unit sphere, in any dimension, using Monte Carlo methods. Although the methods we present are general, our guiding thread is the sliced Wasserstein distance…

Vladimir Petrovic, Rémi Bardenet, Agnès Desolneux

Transactions on Machine Learning Research Journal -

Computer Vision and Pattern Recognition

Change and object detection in video and image time series

This thesis addresses change detection in video and remote sensing image time series — a longstanding challenge in image processing with key applications in surveillance, natural disaster response and land cover monitoring, among others. The…

Xavier Bou Hernandez

Machine Learning

Approches d'apprentissage hybrides pour les applications industrielles

In an industrial context, questions regarding the applicability of machine learning methods are central because, in many cases, the low quantity or quality of data, particularly labels, limits their use in real-world conditions, for example, with a…

Vincent Laurent

Environmental Engineering

Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection

Object detection is one of the main applications of computer vision in remote sensing imagery. Despite its increasing availability, the sheer volume of remote sensing data poses a challenge when detecting rare objects across large geographic areas…

Adhémar de Senneville, Xavier Bou, Jean Louis Bonne, Nicolas Dumelie, Rafael Grompone, Thibaud Ehret, Gabriele Facciolo

IEEE/CVF International Conference on Computer Vision (ICCV) Workshops -

Computer Vision and Pattern Recognition

Fitting a Homography to Observations of Its Differential

This paper proposes a homography estimation method using self-rectifying textures, leveraging autocorrelation to avoid explicit key points. Local autocorrelation peaks are used to estimate affine transformations, then reconstruct the global…

Max Dunitz, Ismail Bencheikh, Marie d'Autume, Enric Meinhardt-Llopis, Marc Pic, Gabriele Facciolo, Pablo Musé

XXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI’25) -

Artificial Intelligence

Image annotation

Data for training AI can be co-occurrent, simulated, or annotated. Co-occurrent data (e.g., past and future frames, audio-video pairs, text-image pairs, user histories) provides meaningful, abundant supervision suitable for generative models and…

Franco Marchesoni

Life Sciences

Impulsivity behaviors and white matter mediate the relationship between genetic risk for cannabis use disorder and early cannabis use in adolescents

Abstract Background and Aim Cannabis use disorder (CUD) is strongly influenced by genetic factors; however the mechanisms underpinning this association are not well understood. This study investigated whether a polygenic risk score (PRS) based on a…

Renata Basso Cupertino, Sarah Elizabeth Medland, Jonatan Ottino-Gonzalez, Zhipeng Cao, Anthony Juliano, Devarshi Pancholi, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean‐luc Martinot, Marie‐laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Patricia Conrod, Peter Callas, Hugh Garavan, Scott Mackey

Addiction -