most citedBioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory

127 citations · 130 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture

Diogo Nunes Goncalves, Jose Marcato Junior, Pedro Zamboni +4

Multi-task learning has proven to be effective in improving the performance of correlated tasks. Most of the existing methods use a backbone to extract initial features with indepe…

cs.CV20232 cited

RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps

Leonardo Scabini, Kallil M. Zielinski, Lucas C. Ribas +3

Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature agg…

cs.CV2016

Texture analysis using deterministic partially self-avoiding walk with thresholds

Lucas Correia Ribas, Wesley Nunes Gonçalves, Odemir Martinez Bruno

In this paper, we propose a new texture analysis method using the deterministic partially self-avoiding walk performed on maps modified with thresholds. In this method, two pixels…

cs.CV2016127 cited

BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory

Bruno Machado, Jonatan Orue, Mauro Arruda +7

Soybean is one of the ten greatest crops in the world, answering for billion-dollar businesses every year. This crop suffers from insect herbivory that costs millions from producer…

physics.comp-ph2016

A Complex Network Approach for Nanoparticle Agglomeration Analysis in Nanoscale Images

Bruno Brandoli, Leonardo Scabini, Jonathan Orue +5

Complex networks have been widely used in science and technology because of their ability to represent several systems. One of these systems is found in Biochemistry, in which the…