Zobrazeno 71 - 80
of 2 279
pro vyhledávání: '"Erickson R"'
Autor:
Rafael Alves de Azevedo, Thiago L. Gomes, Renato Martins, Erickson R. Nascimento, João Pedro Moreira Ferreira, Guilherme Torres
Publikováno v:
International Journal of Computer Vision
International Journal of Computer Vision, Springer Verlag, 2021
International Journal of Computer Vision, 2021, ⟨10.1007/s11263-021-01471-x⟩
International Journal of Computer Vision, Springer Verlag, 2021
International Journal of Computer Vision, 2021, ⟨10.1007/s11263-021-01471-x⟩
Transferring human motion and appearance between videos of human actors remains one of the key challenges in Computer Vision. Despite the advances from recent image-to-image translation approaches, there are several transferring contexts where most e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::287bd79949bcb8cc4d27cec8a6a66c83
https://hal.inria.fr/hal-03257490
https://hal.inria.fr/hal-03257490
Autor:
Victor R. F. Miranda, Luiz Guilherme Dias de Barros, Douglas G. Macharet, Frederico Luiz Martins de Sousa, Levi Welington de Resende Filho, Guilherme Potje, Erickson R. Nascimento, Gilmar Pereira da Cruz Júnior, Adriano M. C. Rezende, Jacó Dias Domingues, Hector Azpurua, Gustavo Pessin, Rafael Fernandes, Filipe Augusto Santos Rocha, Gustavo Freitas
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
Autonomous mobile devices operating in confined environments, such as pipes, underground tunnel systems, and cave networks, face multiple open challenges from the robotics perspective. Those challenges, such as mobility, localization, and mapping in
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Computers & Graphics. 76:73-83
Creating textured 3D meshes of objects for real-time applications can be a laborious, slow and expensive task, demanding specific, highly specialized human resources such as 2D and 3D artists. In this paper, we present a fully automatic 3D modeling m
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 1984 Apr 01. 81(7), 2132-2136.
Externí odkaz:
https://www.jstor.org/stable/23780
Autor:
Erickson, R. V., Fabian, Vaclav
Publikováno v:
The Annals of Probability, 1975 Dec 01. 3(6), 1014-1022.
Externí odkaz:
https://www.jstor.org/stable/2959206
Autor:
Erickson, R. V.
Publikováno v:
The Annals of Probability, 1974 Jun 01. 2(3), 522-529.
Externí odkaz:
https://www.jstor.org/stable/2959188
Autor:
Erickson, R. V., Koul, H. L.
Publikováno v:
The Annals of Statistics, 1976 Jul 01. 4(4), 771-774.
Externí odkaz:
https://www.jstor.org/stable/2958187
Publikováno v:
IEEE Winter Conference on Applications of Computer Vision (WACV)
IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2022, Waikoloa, Hawaii, United States
IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2022, Waikoloa, Hawaii, United States
This paper proposes a new end-to-end neural rendering architecture to transfer appearance and reenact human actors. Our method leverages a carefully designed graph convolutional network (GCN) to model the human body manifold structure, jointly with d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a53d5c8af7c6fb4ba3ca4c76f755308