output
20082025
most citedGipsyX/RTGx, A New Tool Set for Space Geodetic Operations and Research

416 citations

44 papers

eess.SP2025★ 1 cited

An extensive analysis and calibration of the Modular Aggregation Algorithm across three categories of for GNSS trajectories data sources

Marie-Dominique van Damme, Yann Méneroux, Ana-Maria Olteanu-Raimond

This technical report aims to complement the conference paper (https://doi.org/10.1145/3678717.3691325) by providing additional experiments or further details that could not be inc…

cs.MM2025

Detecting Notational Errors in Digital Music Scores

Géré Léo, Nicolas Audebert, Florent Jacquemard

Music scores are used to precisely store music pieces for transmission and preservation. To represent and manipulate these complex objects, various formats have been tailored for d…

cs.CV2024

No Annotations for Object Detection in Art through Stable Diffusion

Patrick Ramos, Nicolas Gonthier, Selina Khan +2

Object detection in art is a valuable tool for the digital humanities, as it allows for faster identification of objects in artistic and historical images compared to humans. Howev…

cs.CV2024

Automated extraction of 4D aircraft trajectories from video recordings

Jean-François Villeforceix

The Bureau d'Enqu{ê}tes et d'Analyses pour la S{é}curit{é} de l'Aviation Civile (BEA) has to analyze accident videos from on-board or ground cameras involving all types of aircraft…

cs.CV2024

Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?

Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi +5

Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice t…

cs.CV2024

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi +5

While pre-trained image autoencoders are increasingly utilized in computer vision, the application of inverse graphics in 2D latent spaces has been under-explored. Yet, besides red…