Zobrazeno 1 - 10
of 8 285
pro vyhledávání: '"Astruc"'
Geospatial models must adapt to the diversity of Earth observation data in terms of resolutions, scales, and modalities. However, existing approaches expect fixed input configurations, which limits their practical applicability. We propose AnySat, a
Externí odkaz:
http://arxiv.org/abs/2412.14123
We use dualities of quiver moduli induced by reflection functors to describe generating series of motives of Kronecker moduli spaces of central slope as solutions of algebraic and q-difference equations.
Comment: 14 pages; v2: several small impr
Comment: 14 pages; v2: several small impr
Externí odkaz:
http://arxiv.org/abs/2410.07913
Autor:
Ali, Abid, Dai, Rui, Marisetty, Ashish, Astruc, Guillaume, Thonnat, Monique, Odobez, Jean-Marc, Thümmler, Susanne, Bremond, Francois
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision 2025
The computer vision community has explored dyadic interactions for atomic actions such as pushing, carrying-object, etc. However, with the advancement in deep learning models, there is a need to explore more complex dyadic situations such as loose in
Externí odkaz:
http://arxiv.org/abs/2409.20270
Semi-analytical multi-front solutions of water table response due to periodic forcing in a partially saturated vertical porous column are developed, tested and compared to finite volume solutions of the Richards equation. The multi-front solutions ar
Externí odkaz:
http://arxiv.org/abs/2409.10718
Autor:
Astruc Laurent, Vialle Claire, Sablayrolles Caroline, Cassayre Laurent, Rodriguez-Donis Ivonne
Publikováno v:
MATEC Web of Conferences, Vol 379, p 07009 (2023)
The environmental performance of emerging bio-based technologies must be assessed at an early stage of their development, when the process can still be modified for sustainable optimization, i.e. including environmental, social and economic aspects.
Externí odkaz:
https://doaj.org/article/981ffe07e2354de8819f6aa18a8dc6d1
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
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 11239-11253 (2024)
ABSTRACT: In French dairy sheep, Fourier transform infrared (FTIR) milk spectral data routinely predict the major milk components used in national genetic evaluations. The direct influence of genetic and environmental factors on milk FTIR spectra has
Externí odkaz:
https://doaj.org/article/b30565b8f4aa4a7e9ae2310e488cd81b