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Publications

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

Affichage des publications 301 à 310 sur 1466 au total

Machine Learning

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space

The Gromov-Wasserstein (GW) distance is frequently used in machine learning to compare distributions across distinct metric spaces. Despite its utility, it remains computationally intensive, especially for large-scale problems. Recently, a novel…

Antoine Salmona, Julie Delon, Agnès Desolneux

Transactions on Machine Learning Research Journal -

Neural and Evolutionary Computing

LEVERAGING EDGE DETECTION AND NEURAL NETWORKS FOR BETTER UAV LOCALIZATION

We propose a new method for the geolocalization of Unmaned Aerial Vehicles (UAV) in environments without Global Navigation Stallite Systems (GNSS). Current stateof-the-art methods use an offline-trained encoder to compute a vector representation …

Théo Di Piazza, Enric Meinhardt-Llopis, Gabriele Facciolo, Bénédicte Bascle, Corentin Abgrall, Jean-Clément Devaux

2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) -

Mathematics

On the Domain Generalization Capabilities of Interactive Segmentation Methods

Interactive image segmentation (IIS) methods are usually trained over segmentation datasets containing natural images. They are also usually evaluated over natural images. However, the most common use case is the annotation of new images from a…

Franco Marchesoni-Acland, Tanguy Magne, Fayçal Rekbi, Gabriele Facciolo

Image Processing On Line -

Mathematics

Accelerating NeRF with the Visual Hull

Neural rendering methods for learning the appearance and geometry of 3D scenes have gained tremendous popularity since 2020. In this field, NeRF or Neural Radiance Fields is the bestknown methodology. Given a collection of multi-view images and…

Roger Marí

Image Processing On Line -

Computer Science

Survival Forest for Left-Truncated Right-Censored Data

The estimation of the lifetime of an industrial equipment or a patient is often based on censored data, because the event of interest is observed only for a subsample of observations. The use of the Random Forest algorithm applied to industrial data…

Vincent Laurent, Olivier Vo Van

Image Processing On Line -

Mathematics

Dehazing with Dark Channel Prior: Analysis and Implementation

In outdoor scenes, atmospheric absortion and scattering attenuate the radiance received by the camera and may produce haze. In 2009 He et al. proposed a simple but effective dehazing algorithm based on a hypothesis called the 'dark channel prior' …

Jose-Luis Lisani, Charles Hessel

Image Processing On Line -