65 citations · 65 across the 5 of their papers we have counts for
5 papers
Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems
Laura C. Diaz-Delgado, Emmanuel Martinez, Henry Arguello
Self-supervised learning for imaging inverse problems is increasingly important in photon-limited settings, where acquiring clean ground truth is impractical and reconstruction mus…
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…
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
Emmanuel Martinez, Roman Jacome, Alejandra Hernandez-Rojas +1
Deep learning methods are state-of-the-art for spectral image (SI) computational tasks. However, these methods are constrained in their performance since available datasets are lim…
Computational Spectral Imaging: A Contemporary Overview
Jorge Bacca, Emmanuel Martinez, Henry Arguello
Spectral imaging collects and processes information along spatial and spectral coordinates quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spect…
Fast Disparity Estimation from a Single Compressed Light Field Measurement
Emmanuel Martinez, Edwin Vargas, Henry Arguello
The abundant spatial and angular information from light fields has allowed the development of multiple disparity estimation approaches. However, the acquisition of light fields req…