Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Pascal Desbarats"'
Autor:
Emile Barjou, Francesca Mastropietro, Benjamin Barbrel, Ombeline De La Rochefoucauld, Aboubakr Bakkali, Benoit Recur, Pascal Desbarats
Publikováno v:
Medical Imaging 2023: Image Processing.
Autor:
Arthur Longuefosse, Baudouin Denis De Senneville, Gaël Dournes, Ilyes Benlala, François Laurent, Pascal Desbarats, Fabien Baldacci
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
32e Conférence Francophone sur l'Interaction Homme-Machine.
Publikováno v:
Human-Computer Interaction – INTERACT 2021 ISBN: 9783030856229
INTERACT (1)
INTERACT (1)
Augmented Reality is increasingly used for visualizing underground networks. However, standard visual cues for depth perception have never been thoroughly evaluated via user experiments in a context involving physical occlusions (e.g., ground) of vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6e63a6c2b88da311bf5113f0d26b23
https://doi.org/10.1007/978-3-030-85623-6_35
https://doi.org/10.1007/978-3-030-85623-6_35
Detection of asian hornet’s nest on drone acquired FLIR and color images using deep learning methods
Autor:
Pascal Desbarats, Tooba Shams
Publikováno v:
IPTA
Asian hornets are considered a pest because of their dangerousness and their impact on the ecosystem. Detecting nests of this species is a difficult task, as they are found in the trees, hidden in the leaves. Our goal is to carry out this detection f
Autor:
Antoine Billy, Pascal Desbarats
Publikováno v:
International Conference on Computer Vision Theory and Applications (VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), 2020
VISIGRAPP (5: VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), 2020
VISIGRAPP (5: VISAPP)
International audience; Estimating depth from 2D images has become an active field of study in autonomous driving, scene reconstruction , 3D object recognition, segmentation, and detection. Best performing methods are based on Convolutional Neural Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b9f3263cce2e2641e101a594cd53db
https://hal.archives-ouvertes.fr/hal-02508853/document
https://hal.archives-ouvertes.fr/hal-02508853/document
Segmentation of left ventricle on dynamic MRI sequences for blood flow cancellation in Thermotherapy
Autor:
Chokri Ben Amar, Jenny Benois-Pineau, Bruno Quesson, Samah Bouzidi, Pascal Desbarats, Aurelie Emilien
Publikováno v:
Signal Processing: Image Communication. 59:37-49
In this paper, we develop a new semi-automated segmentation method to cancel the unstable blood flow within the left ventricle (LV) in cardiac magnetic resonance (MR) images with parallel imaging. The segmentation is performed using a deformable mode
Publikováno v:
International Conference on Image Processing Theory, Tool & Applications
International Conference on Image Processing Theory, Tool & Applications, Nov 2019, Istanbul, Turkey
IPTA
International Conference on Image Processing Theory, Tool & Applications, Nov 2019, Istanbul, Turkey
IPTA
International audience; Recognizing the trajectory patterns of Unmanned Aerial Vehicles (UAV) allows to identify their missions also to detect abnormalities for intelligent supervision. To take advantage of the developments of deep learning on image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b341e8e73c3d5eb25ec0840a3cad7e7
https://hal.archives-ouvertes.fr/hal-02395872/file/56.pdf
https://hal.archives-ouvertes.fr/hal-02395872/file/56.pdf