Výsledky vyhledávání - "Guillaume, Renton"

Une approximation différentiable de l'algorithme Hongrois avec Éditions

Autor: Luc Brun, Benoit Gauzere, Guillaume Renton, Sebastien Bougleux, Florian Yger

Linear Sum Assignment Problem (LSAP) consists in mapping two sets of points of equal sizes according to a matrix encoding the cost of mapping each pair of points. The Linear Sum Assignment Problem with Edition (LSAPE) extends this problem by allowing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ab8f6d43c0f1eb7d6f02b782de9c8e
https://hal.archives-ouvertes.fr/hal-03768664

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Symbols Detection and Classification using Graph Neural Networks

Autor: Muhammet Balcilar, Sébastien Adam, Paul Honeine, Pierre Héroux, Benoit Gaüzère, Guillaume Renton

Publikováno v: Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2021, ⟨10.1016/j.patrec.2021.09.020⟩

International audience; In this paper, we propose a method to both extract and classify symbols in floorplan images. This method relies on the very recent developments of Graph Neural Networks (GNN). In the proposed approach, floorplan images are fir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77895fec2f0d104a1d5ec98f3f5a8f13
https://hal-normandie-univ.archives-ouvertes.fr/hal-03410511

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When Spectral Domain Meets Spatial Domain in Graph Neural Networks

Autor: Muhammet, Balcilar, Guillaume, Renton, Pierre, Héroux, Benoit, Gaüzère, Sébastien, Adam, Honeine, Paul

Publikováno v: Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020)
Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria

International audience; Convolutional Graph Neural Networks (Con-vGNNs) are designed either in the spectral domain or in the spatial domain. In this paper, we provide a theoretical framework to analyze these neural networks, by deriving some equivale

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c8e772ee4bb089c1e20f45dcfbe673a9
https://hal-normandie-univ.archives-ouvertes.fr/hal-03088374

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Graph Neural Network for Symbol Detection on Document Images

Autor: Benoit Gaüzère, Sébastien Adam, Guillaume Renton, Pierre Héroux

Publikováno v: GREC@ICDAR
13th IAPR International Workshop on Graphics Recognition
13th IAPR International Workshop on Graphics Recognition, Sep 2019, Sydney, Australia

International audience; In this paper, we propose a new method to simultaneously detect and classify symbols in floorplan images. This method relies on the very recent developments of Graph Neural Networks (GNN). In the proposed approach, floorplan i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e11a5b5d59d6e698fc57e51a2e037b
https://doi.org/10.1109/icdarw.2019.00016

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Fully convolutional network with dilated convolutions for handwritten text line segmentation

Autor: Sébastien Adam, Yann Soullard, Thierry Paquet, Clément Chatelain, Christopher Kermorvant, Guillaume Renton

Publikováno v: International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, In press, ⟨10.1007/s10032-018-0304-3⟩

We present a learning-based method for handwritten text line segmentation in document images. Our approach relies on a variant of deep fully convolutional networks (FCNs) with dilated convolutions. Dilated convolutions allow to never reduce the input

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392a0c1570f7395e9f230888d20e40d9
https://hal.archives-ouvertes.fr/hal-01823604

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Handwritten Text Line Segmentation Using Fully Convolutional Network

Autor: Thierry Paquet, Sébastien Adam, Clément Chatelain, Christopher Kermorvant, Guillaume Renton

Publikováno v: WML@ICDAR

In this paper, we propose a learning based method for handwritten text line segmentation in document images. The originality of our approach rely on i) the use of X-height labeling of the textline, which provides a suitable text line representation f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::091dc0181221e41147a79e3beaba81b6
https://doi.org/10.1109/icdar.2017.321

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