Zobrazeno 1 - 10
of 795
pro vyhledávání: '"Trouve, P."'
Autor:
Pierron, Thomas, Trouvé, Alain
In the standard orbit model on shape analysis, a group of diffeomorphism on the ambient space equipped with a right invariant sub-riemannian metric acts on a space of shapes and induces a sub-riemannian structure on various spaces. An important examp
Externí odkaz:
http://arxiv.org/abs/2406.16930
Autor:
Jennyfer Trouve, André Zapun, Laure Bellard, Dimitri Juillot, Anais Pelletier, Celine Freton, Morgane Baudoin, Rut Carballido-Lopez, Nathalie Campo, Yung-Sing Wong, Christophe Grangeasse, Cecile Morlot
Publikováno v:
mBio, Vol 15, Iss 10 (2024)
ABSTRACT Bacterial shape and division rely on the dynamics of cell wall assembly, which involves regulated synthesis and cleavage of the peptidoglycan. In ovococci, these processes are coordinated within an annular mid-cell region with nanometric dim
Externí odkaz:
https://doaj.org/article/5b1bb31a114f4624a42705b6edd67ad1
Advances in the development of largely automated microscopy methods such as MERFISH for imaging cellular structures in mouse brains are providing spatial detection of micron resolution gene expression. While there has been tremendous progress made in
Externí odkaz:
http://arxiv.org/abs/2208.08376
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2901-2917 (2024)
The detection of wet snow by satellite imaging is currently done in an unsupervised way and lacks quantitative evaluation due to the difficulty of collecting ground truths in extreme environments. In this article, we propose to take into account info
Externí odkaz:
https://doaj.org/article/bf8912ff98a04eda9b013e13395746f8
Autor:
Leroy, Rémy, Trouvé-Peloux, Pauline, Champagnat, Frédéric, Saux, Bertrand Le, Carvalho, Marcela
Good quality reconstruction and comprehension of a scene rely on 3D estimation methods. The 3D information was usually obtained from images by stereo-photogrammetry, but deep learning has recently provided us with excellent results for monocular dept
Externí odkaz:
http://arxiv.org/abs/2107.14498
Publikováno v:
MICCAI 2019
We present a new multiscale algorithm for solving regularized Optimal Transport problems on the GPU, with a linear memory footprint. Relying on Sinkhorn divergences which are convex, smooth and positive definite loss functions, this method enables th
Externí odkaz:
http://arxiv.org/abs/2107.02010
Kendall shape spaces are a widely used framework for the statistical analysis of shape data arising from many domains, often requiring the parallel transport as a tool to normalise time series data or transport gradient in optimisation procedures. We
Externí odkaz:
http://arxiv.org/abs/2103.04611
Autor:
Carvalho, Marcela, Saux, Bertrand Le, Trouvé-Peloux, Pauline, Champagnat, Frédéric, Almansa, Andrés
Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models. In this investigation, we present a neural network framework for learning semantics and local height together. We show how t
Externí odkaz:
http://arxiv.org/abs/1911.07543
Autor:
Carvalho, Marcela, Ferrera, Maxime, Boulch, Alexandre, Moras, Julien, Saux, Bertrand Le, Trouvé-Peloux, Pauline
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}. In this paper, we address 3D semantic reconstruction for autonomous navigation using co-learning of
Externí odkaz:
http://arxiv.org/abs/1911.01082
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