Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Francis, Danny"'
Autor:
Munoz, Elias, Baudot, Pierre, Le, Van-Khoa, Voyton, Charles, Renoust, Benjamin, Francis, Danny, Groza, Vladimir, Brisset, Jean-Christophe, Geremia, Ezequiel, Iannessi, Antoine, Liu, Yan, Huet, Benoit
Pathologies systematically induce morphological changes, thus providing a major but yet insufficiently quantified source of observables for diagnosis. The study develops a predictive model of the pathological states based on morphological features (3
Externí odkaz:
http://arxiv.org/abs/2207.13830
Autor:
Francis Danny Chávez Reynoso, Leslie Areliz Chambi Tueros, Maykely Eneyda Valencia Ferro, Walter Lizandro Arias Gallegos, Luis Edgar Torres Rodríguez, Eduardo Luis Lazo Tarqui, Max Raul Concha Chirinos, Carlos Hernán Rivera Oviedo, Lizeth Maria Huayta Chambi, Alexander Ruelas Coronel
Publikováno v:
Illustro. 5:19-33
En el presente artículo se compara la percepción que tienen los pobladores de ocho distritos de Arequipa sobre la responsabilidad social empresarial. Para ello se tomó una muestra de 350 personas de la ciudad de Arequipa y se aplicó un instrument
Akademický článek
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Publikováno v:
MMM 2020, 26th International Conference on MultiMedia Modeling, 5-8 January 2020, Daejon, Korea / Also published in LNCS, Vol.11962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::da12bf0e2404e4df1a4ab6f5b50e94ea
http://www.eurecom.fr/publication/6147
http://www.eurecom.fr/publication/6147
Autor:
Francis, Danny
Publikováno v:
Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS605⟩
Thesis
Thesis
Recent research in Deep Learning has sent the quality of results in multimedia tasks rocketing: thanks to new big datasets of annotated images and videos, Deep Neural Networks (DNN) have outperformed other models in most cases. In this thesis, we aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c39bbf0b42ada4e544299e7c9363467
https://tel.archives-ouvertes.fr/tel-03356457
https://tel.archives-ouvertes.fr/tel-03356457
Publikováno v:
TRECVID 2019, 23rd International Workshop on Video Retrieval Evaluation, 12-13 November 2019, Gaithersburg, MD, USA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::74aa2e2e899ca1877810c38fd6678714
http://www.eurecom.fr/publication/6108
http://www.eurecom.fr/publication/6108
Publikováno v:
TRECVID 2019, 23rd International Workshop on Video Retrieval Evaluation, 12-13 November 2019, Gaithersburg, MD, USA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::f701332a9624e4558bd84d057855d976
http://www.eurecom.fr/publication/6109
http://www.eurecom.fr/publication/6109
Publikováno v:
ViRaL 2019, 1st International Workshop on Video Retrieval Methods and Their Limits, co-located with ICCV 2019, 28 October 2019, Seoul, Korea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::f98de290fb5a5b7bf56eb1bb8ff4b027
http://www.eurecom.fr/publication/6052
http://www.eurecom.fr/publication/6052
Autor:
Francis, Danny, Huet, Benoit
Publikováno v:
AI4TV 2019, 1st International Workshop on AI for smart TV content production, access and delivery, co-located with the 27th ACM International Conference on Multimedia, 21 October 2019, Nice, France
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::5184c208adf446cf7c5ff94db7b80d0e
http://www.eurecom.fr/publication/6051
http://www.eurecom.fr/publication/6051
Publikováno v:
MMM 2019, 25th International Conference on MultiMedia Modeling, January 8-11, 2019, Thessaloniki, Greece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::4448ce9021b3426177209761d70d6a35
http://www.eurecom.fr/publication/5719
http://www.eurecom.fr/publication/5719