Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Aparecido Nilceu Marana"'
Publikováno v:
Sensors, Vol 23, Iss 17, p 7312 (2023)
Human pose estimation is an important Computer Vision problem, whose goal is to estimate the human body through joints. Currently, methods that employ deep learning techniques excel in the task of 2D human pose estimation. However, the use of 3D pose
Externí odkaz:
https://doaj.org/article/43ca4a623bf14ecd8fc6d7747fe2c35c
Publikováno v:
CQD Revista Eletrônica Paulista de Matemática, Vol 10, Pp 158-166 (2017)
Externí odkaz:
https://doaj.org/article/de78a5954cac47c995681f5c884c746f
Autor:
Renato de Oliveira Diogo, Marcos Antônio Cavenaghi, Roberta Ulson Spolon, Aparecido Nilceu Marana
Publikováno v:
Revista Ciência em Extensão, Vol 2, Iss Suplemento, Pp 43-44 (2010)
Introdução: Em 1984, foi lançado o projeto GNU, um sistema operacional com a intenção de ser completo e livre, sendo compatível com o UNIX e com suporte a processadores x86. Por algumas dificuldades encontradas no projeto, atualmente este usa c
Externí odkaz:
https://doaj.org/article/bf1d5257ec1a4797808a96dea6b24041
Autor:
João Baptista Cardia Neto, Claudio Ferrari, Aparecido Nilceu Marana, Stefano Berretti, Alberto Del Bimbo
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-20
In this article, we propose a hybrid framework for cross-resolution 3D face recognition which utilizes a Streamed Attention Network (SAN) that combines handcrafted features with Convolutional Neural Networks (CNNs). It consists of two main stages: fi
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ab3607811ac83a818871680423bd10e
https://doi.org/10.1007/978-3-031-21689-3_20
https://doi.org/10.1007/978-3-031-21689-3_20
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad58571d8c661ee57cbe3e60ee0ea90f
https://doi.org/10.1007/978-3-031-21689-3_9
https://doi.org/10.1007/978-3-031-21689-3_9
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0818908ee647fe004d45182b85fc03
https://doi.org/10.1007/978-3-031-21689-3_6
https://doi.org/10.1007/978-3-031-21689-3_6
Autor:
Fabio Romano Lofrano Dotto, Gustavo Henrique de Rosa, José Eduardo Cogo Castanho, João Paulo Papa, Rogério Thomazella, Aparecido Nilceu Marana, Oswaldo Pons Rodrigues Júnior, Willian Paraguassu Amorim
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-06T17:18:08Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-12-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) The
Publikováno v:
Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020).
Biometric systems are common in our everyday life: from our mobile devices to huge surveillance systems. Despite the higher difficulty to circumvent biometric applications, criminals are simulating traits such as face or fingerprints of valid users (
Publikováno v:
Anais do XVI Workshop de Visão Computacional (WVC 2020).
Over the last decades, biometrics has become an important way for human identification in many areas, since it can avoid frauds and increase the security of individuals in society. Nowadays, most popular biometric systems are based on fingerprint and