La ciencia como recurso para el desarrollo turístico sostenible de los Archipiélagos Patagónicos

Autor: Fabien Pierre Marie Bourlon

Publikováno v: PASOS Revista de Turismo y Patrimonio Cultural, Vol 18, Iss 5 (2020)

El articulo analiza la activación del objeto “ciencia” en el litoral del sur de Chile para crear un destino de turismo científico. Se “revela” un recurso territorial mediante la selección y puestos en valor de objetos científicos. Un cent

Externí odkaz: https://doaj.org/article/823daa719a8a45b5b6c1f795a3a7f955

Deep image prior regularized by coupled total variation for image colorization

Autor: Gaetano Agazzotti, Fabien Pierre, Frédéric Sur

Publikováno v: Lecture Notes in Computer Science
SSVM2023 9th International Conference on Scale Space and Variational Methods in Computer Vision
SSVM2023 9th International Conference on Scale Space and Variational Methods in Computer Vision, May 2023, Sardinia, Italy, Italy. pp.301-313, ⟨10.1007/978-3-031-31975-4_23⟩
Lecture Notes in Computer Science ISBN: 9783031319747

International audience; Automatic image colorization is an old problem in image processing that has regained interest in the recent years with the emergence of deep-learning approaches with dramatic results. A careful examination shows that these met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e761a07373493d1ac26fe6ad5e9b67b
https://hal.science/hal-04035467/file/main.pdf

An efficient data strategy for the detection of brain aneurysms from MRA with deep learning

Autor: Youssef Assis, Fabien Pierre, Erwan Kerrien, René Anxionnat, Liang Liao

Publikováno v: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Oct 2021, Strasbourg, France. pp.226-234, ⟨10.1007/978-3-030-88210-5_22⟩
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI
DALI 2021-MICCAI workshop on Data Augmentation, Labeling, and Imperfections
DALI 2021-MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Sep 2021, Strasbourg, France. pp.226-234, ⟨10.1007/978-3-030-88210-5_22⟩

The detection of intracranial aneurysms from Magnetic Resonance Angiography images is a problem of rapidly growing clinical importance. In the last 3 years, the raise of deep convolutional neural networks has instigated a streak of methods that have

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c9efab8bb2d66439bbcb095cf9fbb1
https://hal.univ-lorraine.fr/hal-03391884/document

Segmentation with Active Contours

Autor: Pierre-Frédéric Villard, Timothé Ruel, Clémence Bigeard, Fabien Pierre, Mathieu Amendola

Publikováno v: Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2021, 11, pp.120-141. ⟨10.5201/ipol.2021.298⟩
Image Processing On Line, 2021, 11, pp.120-141. ⟨10.5201/ipol.2021.298⟩

International audience; Active contours (also known as snakes) have shown their ability to introduce regularity on image segmentation. In contrast with level-set approaches, the active contours techniques based on a contour parameterization are able

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8456490907141a0353a29d076634f173
https://hal.archives-ouvertes.fr/hal-03235096/file/article_lr.pdf

Learning Defects in Old Movies from Manually Assisted Restoration

Autor: Jean-François Aujol, Jean-Denis Durou, Arthur Renaudeau, François Lauze, Travis Seng, Fabien Pierre, Axel Carlier

Publikováno v: ICPR 2020-25th International Conference on Pattern Recognition
ICPR 2020-25th International Conference on Pattern Recognition, Sep 2020, Milan / Virtual, Italy
ICPR

International audience; We propose to detect defects in old movies, as the first step of a larger framework of old movies restoration by inpainting techniques. The specificity of our work is to learn a film restorer's expertise from a pair of sequenc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b14c857805cfbfd80e6ddaceed7ebcfa
https://hal.archives-ouvertes.fr/hal-02965296/file/ARTHUR_ICPR_2020.pdf