Zobrazeno 1 - 10
of 98
pro vyhledávání: '"de Souza, Alberto F."'
Autor:
Amorim, Lucas L., Mutz, Filipe, Paixão, Thiago M., Rampinelli, Vinicius, De Souza, Alberto F., Badue, Claudine, Oliveira-Santos, Thiago
Publikováno v:
In Engineering Applications of Artificial Intelligence 1 February 2025 141
Autor:
de Mello, Jean Pablo Vieira, Paixão, Thiago M., Berriel, Rodrigo, Reyes, Mauricio, Badue, Claudine, De Souza, Alberto F., Oliveira-Santos, Thiago
Publikováno v:
In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 1-8). IEEE
The analysis of Magnetic Resonance Imaging (MRI) sequences enables clinical professionals to monitor the progression of a brain tumor. As the interest for automatizing brain volume MRI analysis increases, it becomes convenient to have each sequence w
Externí odkaz:
http://arxiv.org/abs/2106.03208
Autor:
Correia-Silva, Jacson Rodrigues, Berriel, Rodrigo F., Badue, Claudine, De Souza, Alberto F., Oliveira-Santos, Thiago
Publikováno v:
Pattern Recognition 113 (2021) 107830
Convolutional neural networks have been successful lately enabling companies to develop neural-based products, which demand an expensive process, involving data acquisition and annotation; and model generation, usually requiring experts. With all the
Externí odkaz:
http://arxiv.org/abs/2101.08717
Autor:
de Mello, Jean Pablo Vieira, Tabelini, Lucas, Berriel, Rodrigo F., Paixão, Thiago M., de Souza, Alberto F., Badue, Claudine, Sebe, Nicu, Oliveira-Santos, Thiago
Publikováno v:
Computers & Graphics (2020)
Deep neural networks come as an effective solution to many problems associated with autonomous driving. By providing real image samples with traffic context to the network, the model learns to detect and classify elements of interest, such as pedestr
Externí odkaz:
http://arxiv.org/abs/2011.03841
Autor:
Tabelini, Lucas, Berriel, Rodrigo, Paixão, Thiago M., Badue, Claudine, De Souza, Alberto F., Oliveira-Santos, Thiago
Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles. In this work, we propose LaneATT: an anchor-based
Externí odkaz:
http://arxiv.org/abs/2010.12035
Autor:
Mutz, Filipe, Oliveira-Santos, Thiago, Forechi, Avelino, Komati, Karin S., Badue, Claudine, França, Felipe M. G., De Souza, Alberto F.
The localization of self-driving cars is needed for several tasks such as keeping maps updated, tracking objects, and planning. Localization algorithms often take advantage of maps for estimating the car pose. Since maintaining and using several maps
Externí odkaz:
http://arxiv.org/abs/2009.09308
Autor:
Tabelini, Lucas, Berriel, Rodrigo, Paixão, Thiago M., De Souza, Alberto F., Badue, Claudine, Sebe, Nicu, Oliveira-Santos, Thiago
Deep learning has been successfully applied to several problems related to autonomous driving, often relying on large databases of real target-domain images for proper training. The acquisition of such real-world data is not always possible in the se
Externí odkaz:
http://arxiv.org/abs/2008.00962
Autor:
Paixão, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, de Souza, Alberto F., Oliveira-Santos, Thiago
The reconstruction of shredded documents consists of coherently arranging fragments of paper (shreds) to recover the original document(s). A great challenge in computational reconstruction is to properly evaluate the compatibility between the shreds.
Externí odkaz:
http://arxiv.org/abs/2007.00779
Autor:
Tabelini, Lucas, Berriel, Rodrigo, Paixão, Thiago M., Badue, Claudine, De Souza, Alberto F., Oliveira-Santos, Thiago
One of the main factors that contributed to the large advances in autonomous driving is the advent of deep learning. For safer self-driving vehicles, one of the problems that has yet to be solved completely is lane detection. Since methods for this t
Externí odkaz:
http://arxiv.org/abs/2004.10924
Autor:
Paixão, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessando L., Badue, Claudine, De Souza, Alberto F., Oliveira-Santos, Thiago
The reconstruction of shredded documents consists in arranging the pieces of paper (shreds) in order to reassemble the original aspect of such documents. This task is particularly relevant for supporting forensic investigation as documents may contai
Externí odkaz:
http://arxiv.org/abs/2003.10063