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João Paulo Papa

2 accepted papers

2025

A Convolutional Recurrent Mixer Network For Radar Meteorological Image Super-Resolution

ICASSP 2025accepted

Image super-resolution (SR) focuses on reconstructing high-resolution images from their low-resolution counter-parts, often affected by sensor limitations or environmental factors. Convolutional Neural Networks (CNNs) are state-of-the-art for SR tasks but computationally heavy. This paper introduces…

Cited by 0SourceScholar
2020

Semi-Supervised Segmentation based on Error-Correcting Supervision

ECCV 2020poster

Pixel-level classification is an essential part of computer vision. For learning from labeled data, many powerful deep learning models have been developed recently. In this work, we augment such supervised segmentation models by allowing them to learn from unlabeled data. Our semi-supervised approac…

Cited by 125SourcePDFScholar