Consulter le flux RSS

Publications

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

Affichage des publications 131 à 140 sur 1520 au total

Life Sciences

Cognitive predictors of mental health trajectories are mediated by inferior frontal and occipital development during adolescence

Qingyang Li, Miao Cao, Dan Stein, Barbara Sahakian, Tianye Jia, Christelle Langley, Zixin Gu, Wenjie Hou, Han Lu, Luolong Cao, Jinran Lin, Runye Shi, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Christian Baeuchl, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Jianfeng Feng, Qiang Luo

Molecular Psychiatry -

Physics

QUIDS: A Large-Scale Distributed Framework for Quantum Irregular Dynamics Simulations

In traditional quantum computing, e.g. in the quantum circuit model, the size of the data structure describing basis elements is well known, because the dimensionality is fixed. General quantum systems, however, exhibit basis elements of variable…

Joseph Touzet, Oguz Kaya, Pablo Arrighi, Amélia Durbec

Q-CASA 2025 - IPDPS Workshop on Quantum Computing Algorithms, Systems, and Applications -

Automatic Control Engineering

Linear Parameter-Varying Observer for Online Tire Grip Potential Estimation

This paper presents a novel Linear Parameter-Varying (LPV) observer for online simultaneous estimation of the tire longitudinal grip potential and slip-ratio. The tire grip potential is the maximum force that can be transmitted between the tire and…

Maxime Boulanger, John Jairo Martinez Molina, Olivier Sename, Thibault Dairay, Jérémy Vayssettes

LPVS 2025 - 6th IFAC Workshop on Linear Parameter Varying Systems -

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