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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 1413 au total

Computer Vision and Pattern Recognition

Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization

Planet-scale photo geolocalization involves the intricate task of estimating the geographic location depicted in an image purely based on its visual features. While deep learning models, particularly convolutional neural networks (CNNs), have…

David Faget, José Luis Lisani, Miguel Colom

21st International Conference on Computer Vision Theory and Applications -

Volcanology

Near real-time monitoring of volcanic deformation and lava flows from multi-angular Capella Space SAR imagery

Monitoring deformation and surface changes is crucial for rapid hazard assessment during volcanic eruptions. This can be achieved by detecting changes in Synthetic Aperture Radar (SAR) images. However, most traditional methods require SAR images…

Arthur Hauck, Raphaël Grandin, Fidel Costa, Aline Peltier, Nicolas Villeneuve, Jean-Luc Froger, Roland Akiki, Jérémy Anger, Carlo de Franchis

Bulletin of Volcanology -

Computer Vision and Pattern Recognition

Autocorrelation-based Fiducial Markers for Traceability

Classical approaches to the rectification of a single image of a product, without stereo correspondences, require spatial landmarks. These landmarks, constructed from high-contrast elementary shapes that can be detected with simple algorithms, are…

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

Winter Conference on Applications of Computer Vision (WACV 2026) -

Engineering Sciences

An Integrated Beetle Antennae Search–Enabled Navigation Framework for Omnidirectional AGVMobile Robots in Unknown Environments

The Beetle Antennae Search algorithm is a relatively one of the recent optimization approach inspired by the foraging behavior of long-horn beetles, that copy how they use their antennae to explore the environment. This algorithm due to its simple…

Ata Jahangir Moshayedi, Atanu Shuvam Roy, Utsab Karan, Mingjun Zhang, David Bassir

EAI Endorsed Transactions on AI and Robotics -

Statistics

Efficient Multiple Change-Point Detection on CAT Spaces

We study the problem of multiple change-point detection (MCP) for time series in non-Euclidean spaces. We consider the change-in-mean problem using an intrinsic notion of mean called Fréchet means. A computationally efficient algorithm that exactly…

Hugo Henneuse, Vincent Runge, Charles Truong, Tung Lam Nguyen