216 citations · 228 across the 10 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
Fully Convolutional Open Set Segmentation
Hugo Oliveira, Caio Silva, Gabriel L. S. Machado +2
In semantic segmentation knowing about all existing classes is essential to yield effective results with the majority of existing approaches. However, these methods trained in a Cl…
An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation
Matheus Barros Pereira, Jefersson Alex dos Santos
High-resolution images for remote sensing applications are often not affordable or accessible, especially when in need of a wide temporal span of recordings. Given the easy access…
BrazilDAM: A Benchmark dataset for Tailings Dam Detection
Edemir Ferreira, Matheus Brito, Remis Balaniuk +2
In this work we present BrazilDAM, a novel public dataset based on Sentinel-2 and Landsat-8 satellite images covering all tailings dams cataloged by the Brazilian National Mining A…
Towards Open-Set Semantic Segmentation of Aerial Images
Caio C. V. da Silva, Keiller Nogueira, Hugo N. Oliveira +1
Classical and more recently deep computer vision methods are optimized for visible spectrum images, commonly encoded in grayscale or RGB colorspaces acquired from smartphones or ca…
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond +2
Due to the availability of large-scale skeleton datasets, 3D human action recognition has recently called the attention of computer vision community. Many works have focused on enc…
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira, Edemir Ferreira, Jefersson A. dos Santos
Digitization techniques for biomedical images yield different visual patterns in radiological exams. These differences may hamper the use of data-driven approaches for inference ov…
A Comparative Study on Unsupervised Domain Adaptation Approaches for Coffee Crop Mapping
Edemir Ferreira, Mário S. Alvim, Jefersson A. dos Santos
In this work, we investigate the application of existing unsupervised domain adaptation (UDA) approaches to the task of transferring knowledge between crop regions having different…
Activity Recognition based on a Magnitude-Orientation Stream Network
Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos +1
The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view…