Zobrazeno 1 - 10
of 892
pro vyhledávání: '"Landrieu P"'
Autor:
Fogel, Fajwel, Perron, Yohann, Besic, Nikola, Saint-André, Laurent, Pellissier-Tanon, Agnès, Schwartz, Martin, Boudras, Thomas, Fayad, Ibrahim, d'Aspremont, Alexandre, Landrieu, Loic, Ciais, Philippe
Estimating canopy height and canopy height change at meter resolution from satellite imagery has numerous applications, such as monitoring forest health, logging activities, wood resources, and carbon stocks. However, many existing forest datasets ar
Externí odkaz:
http://arxiv.org/abs/2407.09392
Autor:
Astruc, Guillaume, Dufour, Nicolas, Siglidis, Ioannis, Aronssohn, Constantin, Bouia, Nacim, Fu, Stephanie, Loiseau, Romain, Nguyen, Van Nguyen, Raude, Charles, Vincent, Elliot, XU, Lintao, Zhou, Hongyu, Landrieu, Loic
Determining the location of an image anywhere on Earth is a complex visual task, which makes it particularly relevant for evaluating computer vision algorithms. Yet, the absence of standard, large-scale, open-access datasets with reliably localizable
Externí odkaz:
http://arxiv.org/abs/2404.18873
Publikováno v:
ECCV 2024
The diversity and complementarity of sensors available for Earth Observations (EO) calls for developing bespoke self-supervised multimodal learning approaches. However, current multimodal EO datasets and models typically focus on a single data type,
Externí odkaz:
http://arxiv.org/abs/2404.08351
Autor:
Wu, Sidi, Chen, Yizi, Mermet, Samuel, Hurni, Lorenz, Schindler, Konrad, Gonthier, Nicolas, Landrieu, Loic
Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains. However, this assumption does not always hold in real-world scenarios due to divergent distributions,
Externí odkaz:
http://arxiv.org/abs/2403.20142
We introduce a highly efficient method for panoptic segmentation of large 3D point clouds by redefining this task as a scalable graph clustering problem. This approach can be trained using only local auxiliary tasks, thereby eliminating the resource-
Externí odkaz:
http://arxiv.org/abs/2401.06704
Autor:
Garioud, Anatol, Gonthier, Nicolas, Landrieu, Loic, De Wit, Apolline, Valette, Marion, Poupée, Marc, Giordano, Sébastien, Wattrelos, Boris
We introduce the French Land cover from Aerospace ImageRy (FLAIR), an extensive dataset from the French National Institute of Geographical and Forest Information (IGN) that provides a unique and rich resource for large-scale geospatial analysis. FLAI
Externí odkaz:
http://arxiv.org/abs/2310.13336
We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes. Our method incorporates a fast algorithm to partition point clouds into a hierarchical superpoint structure, which makes our
Externí odkaz:
http://arxiv.org/abs/2306.08045
We propose an unsupervised method for parsing large 3D scans of real-world scenes with easily-interpretable shapes. This work aims to provide a practical tool for analyzing 3D scenes in the context of aerial surveying and mapping, without the need fo
Externí odkaz:
http://arxiv.org/abs/2304.09704
We present a comprehensive survey and benchmark of both traditional and learning-based methods for surface reconstruction from point clouds. This task is particularly challenging for real-world acquisitions due to factors like noise, outliers, non-un
Externí odkaz:
http://arxiv.org/abs/2301.13656
Autor:
Neha Basheer, Luc Buee, Jean-Pierre Brion, Tomas Smolek, Muhammad Khalid Muhammadi, Jozef Hritz, Tomas Hromadka, Ilse Dewachter, Susanne Wegmann, Isabelle Landrieu, Petr Novak, Amritpal Mudher, Norbert Zilka
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-31 (2024)
Abstract The transcellular propagation of the aberrantly modified protein tau along the functional brain network is a key hallmark of Alzheimer's disease and related tauopathies. Inoculation-based tau propagation models can recapitulate the stereotyp
Externí odkaz:
https://doaj.org/article/0547cc546b564dafa9cf1056d3b05ad1