23 citations · 40 across the 5 of their papers we have counts for
5 papers · 1 filter
CNNs for JPEGs: A Study in Computational Cost
Samuel Felipe dos Santos, Nicu Sebe, Jurandy Almeida
Convolutional neural networks (CNNs) have achieved astonishing advances over the past decade, defining state-of-the-art in several computer vision tasks. CNNs are capable of learni…
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
Eduardo Nascimento, John Just, Jurandy Almeida +1
In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed v…
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa +3
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement…
Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain
Samuel Felipe dos Santos, Jurandy Almeida
Human action recognition has become one of the most active field of research in computer vision due to its wide range of applications, like surveillance, medical, industrial enviro…
Low-Budget Label Query through Domain Alignment Enforcement
Jurandy Almeida, Cristiano Saltori, Paolo Rota +1
Deep learning revolution happened thanks to the availability of a massive amount of labelled data which have contributed to the development of models with extraordinary inference c…