4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Designed Dithering Sign Activation for Binary Neural Networks
Brayan Monroy, Juan Estupiñan, Tatiana Gelvez-Barrera +2
Binary Neural Networks emerged as a cost-effective and energy-efficient solution for computer vision tasks by binarizing either network weights or activations. However, common bina…
Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery
Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello
This paper proposes a non-data-driven deep neural network for spectral image recovery problems such as denoising, single hyperspectral image super-resolution, and compressive spect…
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks
Jorge Bacca, Tatiana Gelvez, Henry Arguello
Covering from photography to depth and spectral estimation, diverse computational imaging (CI) applications benefit from the versatile modulation of coded apertures (CAs). The ligh…