Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Penatti, Otavio A. B."'
Autor:
Carvalho, Gustavo Sutter P., Luvizon, Diogo C., Neto, Antonio Joia, Pacheco, Andre G. C., Penatti, Otavio A. B.
Generating static novel views from an already captured image is a hard task in computer vision and graphics, in particular when the single input image has dynamic parts such as persons or moving objects. In this paper, we tackle this problem by propo
Externí odkaz:
http://arxiv.org/abs/2110.09380
Autor:
Luvizon, Diogo C., Carvalho, Gustavo Sutter P., Santos, Andreza A. dos, Conceicao, Jhonatas S., Flores-Campana, Jose L., Decker, Luis G. L., Souza, Marcos R., Pedrini, Helio, Joia, Antonio, Penatti, Otavio A. B.
In the last few years, several works have tackled the problem of novel view synthesis from stereo images or even from a single picture. However, previous methods are computationally expensive, specially for high-resolution images. In this paper, we a
Externí odkaz:
http://arxiv.org/abs/2011.13317
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.
Inertial sensors are present in most mobile devices nowadays and such devices are used by people during most of their daily activities. In this paper, we present an approach for human activity recognition based on inertial sensors by employing recurr
Externí odkaz:
http://arxiv.org/abs/1712.01429
Autor:
Nogueira, Keiller, Fadel, Samuel G., Dourado, Ícaro C., Werneck, Rafael de O., Muñoz, Javier A. V., Penatti, Otávio A. B., Calumby, Rodrigo T., Li, Lin Tzy, Santos, Jefersson A. dos, Torres, Ricardo da S.
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards flood monitoring is based on identifying the area most vulnerable to flooding, which gives au
Externí odkaz:
http://arxiv.org/abs/1711.03564
Publikováno v:
in 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Foz do Igua\c{c}u, Brazil, 2018, pp. 447-454
In this paper, we present the Bag-of-Attributes (BoA) model for video representation aiming at video event retrieval. The BoA model is based on a semantic feature space for representing videos, resulting in high-level video feature vectors. For creat
Externí odkaz:
http://arxiv.org/abs/1607.05208
We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and using ConvNets as feature extrac
Externí odkaz:
http://arxiv.org/abs/1602.01517
Visual dictionaries are a critical component for image classification/retrieval systems based on the bag-of-visual-words (BoVW) model. Dictionaries are usually learned without supervision from a training set of images sampled from the collection of i
Externí odkaz:
http://arxiv.org/abs/1511.06704
Publikováno v:
in 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), S\~{a}o Jos\'{e} dos Campos, Brazil, 2016, pp. 257-264
Often, videos are composed of multiple concepts or even genres. For instance, news videos may contain sports, action, nature, etc. Therefore, encoding the distribution of such concepts/genres in a compact and effective representation is a challenging
Externí odkaz:
http://arxiv.org/abs/1506.00051