activity
20172022
most citedA Soft Computing Approach for Selecting and Combining Spectral Bands

5 citations · 12 across the 5 of their papers we have counts for

collaborators

14 papers

cs.CV20223 cited

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

Camila Laranjeira, João Macedo, Sandra Avila +1

The online sharing and viewing of Child Sexual Abuse Material (CSAM) are growing fast, such that human experts can no longer handle the manual inspection. However, the automatic cl…

cs.CV20221 cited

Conditional Reconstruction for Open-set Semantic Segmentation

Ian Nunes, Matheus B. Pereira, Hugo Oliveira +2

Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks.We propose a novel method called CoReSeg thattackles the is…

cs.CV2021

Learning to Segment Medical Images from Few-Shot Sparse Labels

Pedro H. T. Gama, Hugo Oliveira, Jefersson A. dos Santos

In this paper, we propose a novel approach for few-shot semantic segmentation with sparse labeled images. We investigate the effectiveness of our method, which is based on the Mode…

cs.CV2021

Opening Deep Neural Networks with Generative Models

Marcos Vendramini, Hugo Oliveira, Alexei Machado +1

Image classification methods are usually trained to perform predictions taking into account a predefined group of known classes. Real-world problems, however, may not allow for a f…

cs.CV20203 cited

A New Similarity Space Tailored for Supervised Deep Metric Learning

Pedro H. Barros, Fabiane Queiroz, Flavio Figueredo +2

We propose a novel deep metric learning method. Differently from many works on this area, we defined a novel latent space obtained through an autoencoder. The new space, namely S-s…

cs.NE20205 cited

A Soft Computing Approach for Selecting and Combining Spectral Bands

Juan F. H. Albarracín, Rafael S. Oliveira, Marina Hirota +2

We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The pro…