5 papers
Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca
Modulo-Imaging (MI) offers a promising alternative for expanding the dynamic range of images by resetting the signal intensity when it reaches the saturation level. Subsequently, h…
Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction
Kebin Contreras, Emmanuel Martinez, Brayan Monroy +8
Cocoa bean quality assessment is essential for ensuring compliance with commercial standards, protecting consumer health, and increasing the market value of the cocoa product. The…
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving
Kebin Contreras, Brayan Monroy, Jorge Bacca
Object detection precision is crucial for ensuring the safety and efficacy of autonomous driving systems. The quality of acquired images directly influences the ability of autonomo…
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
Brayan Monroy, Kebin Contreras, Jorge Bacca
High dynamic range (HDR) imaging is vital for capturing the full range of light tones in scenes, essential for computer vision tasks such as autonomous driving. Standard commercial…
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
Brayan Monroy, Jorge Bacca, Julián Tachella
Recorrupted-to-Recorrupted (R2R) has emerged as a methodology for training deep networks for image restoration in a self-supervised manner from noisy measurement data alone, demons…