55 citations · 88 across the 8 of their papers we have counts for
10 papers
Exploring Self-Attention for Crop-type Classification Explainability
Ivica Obadic, Ribana Roscher, Dario Augusto Borges Oliveira +1
Transformer models have become a promising approach for crop-type classification. Although their attention weights can be used to understand the relevant time points for crop disam…
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery
Laura E. C. La Rosa, Dario A. B. Oliveira, Pedram Ghamisi
The application of deep learning algorithms to Earth observation (EO) in recent years has enabled substantial progress in fields that rely on remotely sensed data. However, given t…
Controlling Weather Field Synthesis Using Variational Autoencoders
Dario Augusto Borges Oliveira, Jorge Guevara Diaz, Bianca Zadrozny +1
One of the consequences of climate change is anobserved increase in the frequency of extreme cli-mate events. That poses a challenge for weatherforecast and generation algorithms,…
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa +3
This work proposes a multi-task fully convolutional architecture for tree species mapping in dense forests from sparse and scarce polygon-level annotations using hyperspectral UAV-…
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks
Dario Augusto Borges Oliveira
Lesion synthesis received much attention with the rise of efficient generative models for augmenting training data, drawing lesion evolution scenarios, or aiding expert training. T…
A modular framework for extreme weather generation
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman +4
Extreme weather events have an enormous impact on society and are expected to become more frequent and severe with climate change. In this context, resilience planning becomes cruc…
Ground Roll Suppression using Convolutional Neural Networks
Dario Augusto Borges Oliveira, Daniil Semin, Semen Zaytsev
Seismic data processing plays a major role in seismic exploration as it conditions much of the seismic interpretation performance. In this context, generating reliable post-stack s…
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams
Dario Augusto Borges Oliveira
The success of supervised lesion segmentation algorithms using Computed Tomography (CT) exams depends significantly on the quantity and variability of samples available for trainin…
An argument in favor of strong scaling for deep neural networks with small datasets
Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana +1
In recent years, with the popularization of deep learning frameworks and large datasets, researchers have started parallelizing their models in order to train faster. This is cruci…
Automatic tracking of vessel-like structures from a single starting point
Dario Augusto Borges Oliveira, Laura Leal-Taixe, Raul Queiroz Feitosa +1
The identification of vascular networks is an important topic in the medical image analysis community. While most methods focus on single vessel tracking, the few solutions that ex…