Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Issey Masuda"'
Publikováno v:
ICPR
Deep metric learning has been key to recent advances in face verification and image retrieval amongst others. These systems consist on a feature extraction block (extracts feature maps from images) followed by a spatial dimensionality reduction block
Autor:
David Varas, Juan Carlos Riveiro, Issey Masuda, Alejandro Woodward, Elisenda Bou-Balust, Clara Bonnín
Publikováno v:
INTERSPEECH
Autor:
David Varas, Elisenda Bou-Balust, Carlos Roig, Manuel Sarmiento, Juan Carlos Riveiro, Issey Masuda
Publikováno v:
ICCV Workshops
Accurate human action recognition remains a challenging task in the field of computer vision. While many approaches focus on narrow image features, this work proposes a novel multi-modal method that combines task specific features (action recognition
Autor:
Juan Carlos Riveiro, Delia Fernandez, Issey Masuda, David Varas, Aleix Colom, Elisenda Bou, David Vegas, David Rodriguez, Xavi Giro-i-Nieto, Joan Espadaler, Miquel Montalvo
Publikováno v:
MIPR
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
News broadcasters and on-line publishers daily generate a large amount of articles and videos describing events currently happening in the world. In this work, we present a system that automatically indexes videos from a library and links them to sto
Autor:
Issey Masuda, David Varas, Alejandro Woodward, Xavier Giro-i-Nieto, Elisenda Bou, Joan Espadaler, David Rodriguez, Juan Carlos Riveiro, Jordi Ferreira, Delia Fernandez
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
ICCV Workshops
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
ICCV Workshops
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The popularization of multimedia content on the Web has arised the need to automatically understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging System which learns from videos, their web context and comments shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c9c77af74200bae4f89a53311bff47f
http://hdl.handle.net/2117/110668
http://hdl.handle.net/2117/110668