9 citations · 20 across the 4 of their papers we have counts for
4 papers
UNIR-Net: A Novel Approach for Restoring Underwater Images with Non-Uniform Illumination Using Synthetic Data
Ezequiel Perez-Zarate, Chunxiao Liu, Oscar Ramos-Soto +2
Restoring underwater images affected by non-uniform illumination (NUI) is essential to improve visual quality and usability in marine applications. Conventional methods often fall…
MIAFEx: An Attention-based Feature Extraction Method for Medical Image Classification
Oscar Ramos-Soto, Jorge Ramos-Frutos, Ezequiel Perez-Zarate +2
Feature extraction techniques are crucial in medical image classification; however, classical feature extractors, in addition to traditional machine learning classifiers, often exh…
ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement
Ezequiel Perez-Zarate, Oscar Ramos-Soto, Chunxiao Liu +2
Low-light image enhancement is an important task in computer vision, essential for improving the visibility and quality of images captured in non-optimal lighting conditions. Inade…
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
Ayush Roy, Anurag Bhattacharjee, Diego Oliva +3
Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution l…