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Publications

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

Affichage des publications 1 à 10 sur 1126 au total

Computer Vision and Pattern Recognition

S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications

We introduce the S-EO dataset: a large-scale, highresolution dataset, designed to advance geometry-aware shadow detection. Collected from diverse public-domain sources, including challenge datasets and government providers such as USGS, our dataset…

Elías Masquil, Roger Marí, Thibaud Ehret, Enric Meinhardt-Llopis, Pablo Musé, Gabriele Facciolo

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025) -

Computer Vision and Pattern Recognition

Gaussian Splatting for Efficient Satellite Image Photogrammetry

Recently, Gaussian splatting has emerged as a strong alternative to NeRF, demonstrating impressive 3D modeling capabilities while requiring only a fraction of the training and rendering time. In this paper, we show how the standard Gaussian…

Luca Savant Aira, Gabriele Facciolo, Thibaud Ehret

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025) -

Computer Vision and Pattern Recognition

s2p-hd: Gpu-Accelerated Binocular Stereo Pipeline for Large-Scale Same-Date Stereo

The increasing availability of high-resolution satellite imagery has driven advances in 3D reconstruction techniques for the generation of Digital Elevation Models (DEM). Recent research focuses on opportunistic stereo, using sophisticated…

Tristan Amadei, Enric Meinhardt-Llopis, Carlo de Franchis, Jérémy Anger, Thibaud Ehret, Gabriele Facciolo

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025) -

Mathematics

Joint dimensionality reduction and clustering with missing data

To address the challenge of clustering highdimensional data, subspace clustering methods, such as Reduced K-means (RKM) have been proposed. These methods identify clusters by simultaneously finding the low-dimensional subspaces and the matching…

Yasmine Agliz, Vincent Audigier, Ndèye Niang, Mohamed Nadif

Advanced Machine Learning and Data Science -

Computer Science

Étude de variabilité par bootstrap résiduel pour une méthode de subspace clustering

Combining dimensionality reduction and clustering techniques is effective for clustering high-dimensional data by simultaneously identifying low-dimensional subspaces and their corresponding partitions. This work aims to assess the sensitivity of…

Yasmine Agliz, Vincent Audigier, Mohamed Nadif, Ndèye Niang

30émes Rencontres de la Société Francophone de Classification -

Computer Science

Clustering et réduction de la dimension avec données manquantes

In the context of high-dimensional clustering, we are interested in the Reduced K-means (RKM) subspace clustering method. However, RKM is not suitable for missing data. We propose two methods inspired by commonly used approaches for clustering with…

Yasmine Agliz, Vincent Audigier, Mohamed Nadif, Ndèye Niang

56ièmes Journées de Statistique de la SFDS -

Electric power

Disaggregation of Heating and Cooling Energy Consumption via Maximum a Posteriori Estimation

Estimating energy use in heating and air conditioning systems is crucial for effective building energy management. This article introduces a new method combining the use of degree-days with the maximum a posteriori estimation statistical method to…

Antoine Tavant, Cédric Simi, Pierre-Alexis Chevreuil, Pierre Costini, Joris Costes

IARIA Conference -

Mathematical Physics

Methods for exact solutions of nonlinear ordinary differential equations

In order to find closed form solutions of nonintegrable nonlinear ordinary differential equations, numerous tricks have been proposed. The goal of this short review is to explain how a theorem of Eremenko on meromorphic solutions of some nonlinear…

Robert Conte, Micheline Musette, Tuen Wai Ng, Chengfa Wu

Advances in mathematics (China) 数学进展 -

Mathematical Physics

Minimal algebraic solutions of the sixth equation of Painlevé

For each of the forty-eight exceptional algebraic solutions u(x) of the sixth equation of Painlevé, we build the algebraic curve P (u, x) = 0 of a degree conjectured to be minimal, then we give an optimal parametric representation of it. This degree…

R. Conte

Theoretical and Mathematical Physics -