Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Jonysberg P. Quintino"'
Autor:
Ariany F. Cavalcante, Victor H. de L. Kunst, Thiago de M. Chaves, Júlia D. T. de Souza, Isabela M. Ribeiro, Jonysberg P. Quintino, Fabio Q. B. da Silva, André L. M. Santos, Veronica Teichrieb, Alana Elza F. da Gama
Publikováno v:
Sensors, Vol 23, Iss 17, p 7493 (2023)
The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals’ daily activities. This article
Externí odkaz:
https://doaj.org/article/abbe468983ca49b1bb2b040d52398e71
Autor:
Pedro de Souza, Diógenes Silva, Isabella de Andrade, Júlia Dias, João Paulo Lima, Veronica Teichrieb, Jonysberg P. Quintino, Fabio Q. B. da Silva, Andre L. M. Santos
Publikováno v:
Sensors, Vol 23, Iss 12, p 5756 (2023)
Adaptive AI for context and activity recognition remains a relatively unexplored field due to difficulty in collecting sufficient information to develop supervised models. Additionally, building a dataset for human context activities “in the wild
Externí odkaz:
https://doaj.org/article/94ac04b8d3dc4a1ba23244968a9a7187
Autor:
Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Jonysberg P. Quintino, Helder S. Pinho
Publikováno v:
IEEE Access, Vol 9, Pp 119546-119563 (2021)
Image Inpainting, the task of recovering missing information in an image, is of great practical interest to users who wish to recover damaged photographs or remove unwanted parts of images. Advances in Convolutional Neural Networks and Adversarial Ne
Externí odkaz:
https://doaj.org/article/8ff20d5d1d5f41ab92cc5407a94f8507
Autor:
Santos, Pedro de Souza, Diógenes Silva, Isabella de Andrade, Júlia Dias, João Paulo Lima, Veronica Teichrieb, Jonysberg P. Quintino, Fabio Q. B. da Silva, Andre L. M.
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5756
Adaptive AI for context and activity recognition remains a relatively unexplored field due to difficulty in collecting sufficient information to develop supervised models. Additionally, building a dataset for human context activities “in the wild
Autor:
Clauirton Siebra, Lais Amorim, Jonysberg P. Quintino, Andre L.M. Santos, Fabio Q.B. da Silva, Katarzyna Wac
Publikováno v:
Journal of Biomedical Informatics
Human behaviour is a dense longitudinal multi-featured measure that directly impacts the health of individuals in the short and long terms. Therefore, issues usually emerge from the insistence on performing risky behaviours, such as smoking or eating
Autor:
George D. C. Cavalcanti, Helder Pinho, Jonysberg P. Quintino, Walber M. Rodrigues, Felipe N. Walmsley
Publikováno v:
IEEE Access, Vol 9, Pp 119546-119563 (2021)
Image Inpainting, the task of recovering missing information in an image, is of great practical interest to users who wish to recover damaged photographs or remove unwanted parts of images. Advances in Convolutional Neural Networks and Adversarial Ne
Autor:
Jarbas Jácome, Arlindo Gomes, Willams de Lima Costa, Lucas Silva Figueiredo, Jader Abreu, Luana Porciuncula, Pedro K. Brant, Luis E. M. Alves, Walter F M Correia, Veronica Teichrieb, Jonysberg P. Quintino, Fabio Q. B. da Silva, Andre L M Santos, Helder de Sousa Pinho
Publikováno v:
Symposium on Virtual and Augmented Reality.
Autor:
Fabio Q. B. da Silva, Adam H. M. Pinto, Jonysberg P. Quintino, Helder Pinho, Victor Gouveia de M. Lyra, André L. Santos, Gustavo Lima, João Paulo Lima, Veronica Teichrieb
Publikováno v:
SVR
3D reconstruction is one of the main topics in computer vision and is heavily applied for creating virtual environments. Photogrammetry is a technique for obtaining 3D information by mapping objects and scenarios using only images. However, this proc
Autor:
Jonysberg P. Quintino, Veronica Teichrieb, Fabio Silva, Lucas Figueiredo, Helder Pinho, Ricardo R. Barioni, Willams L. Costa, José Aprígio Carneiro Neto, André L. Santos
Publikováno v:
ISMAR Adjunct
Image-based body tracking algorithms are useful in several scenarios, such as avatar animations and gesture interaction for VR applications. In the last few years, the best-ranked solutions presented on the state of the art of body tracking (accordin
Autor:
Veronica Teichrieb, Jose Roberto Fonseca, Jonysberg P. Quintino, Jader Abreu, Fabio Q. B. da Silva, Lucas Figueredo, André L. Santos, Helder Pinho, Jose Gomes da Silva Neto
Publikováno v:
ISMAR Adjunct
Gestural interfaces in virtual reality (VR) expand the design space for user interaction, allowing spatial metaphors with the environment and more natural and immersive experiences. Typically, machine learning approaches recognize gestures with model