2 citations · 2 across the 5 of their papers we have counts for
5 papers
A self-supervised learning approach to deep filter banks for texture recognition
Joao B. Florindo, Lucas O. Lyra, Antonio E. Fabris
An important challenge in texture recognition is the limited amount of data for training frequently found in real-world applications. In computer vision in general, a successful st…
Deep neural networks with Fisher vector encoding for medical image classification
Lucas O. Lyra, Antonio E. Fabris, Joao B. Florindo
Orderless encoding methods have shown to improve Convolutional Neural Networks (CNNs) for image classification in the context of limited availability of data. Additionally, hybrid…
Multilayer deep feature extraction for visual texture recognition
Lucas O. Lyra, Antonio Elias Fabris, Joao B. Florindo
Convolutional neural networks have shown successful results in image classification achieving real-time results superior to the human level. However, texture images still pose some…
Programming plantation lines on driverless tractors
Antonio Elias Fabris, Marcelo Zanchetta do Nascimento, Valério Ramos Batista
Recent advances in Agricultural Engineering include image processing, robotics and geographic information systems (GIS). Some tasks are still accomplished manually, like drawing pl…
A programme to determine the exact interior of any connected digital picture
Antonio Elias Fabris, Valério Ramos Batista
Region filling is one of the most important and fundamental operations in computer graphics and image processing. Many filling algorithms and their implementations are based on the…