<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Henry Arguello on Jorge Bacca</title><link>https://jorgebaccauis.github.io/authors/henry-arguello/</link><description>Recent content in Henry Arguello on Jorge Bacca</description><generator>Source Themes academia (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© All right reserved by Jorge Bacca, {year}</copyright><lastBuildDate>Wed, 15 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jorgebaccauis.github.io/authors/henry-arguello/index.xml" rel="self" type="application/rss+xml"/><item><title>Shift-Variant Color-Coded Diffractive Spectral Imaging System</title><link>https://jorgebaccauis.github.io/project/shift_variant/</link><pubDate>Mon, 01 Nov 2021 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/shift_variant/</guid><description>&lt;p&gt;State-of-the-art snapshot spectral imaging (SI) systems introduce color-coded apertures (CCAs) into their setups to obtain a flexible spatial-spectral modulation. This work introduces an optical setup composed of a DOE and a CCA with end-to-end differentiable optimization.&lt;/p&gt;
&lt;p&gt;Full details and materials:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Paper&lt;/strong&gt;: &lt;a href="https://opg.optica.org/optica/abstract.cfm?URI=optica-8-11-1424"&gt;Optica Article&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Code&lt;/strong&gt;: &lt;a href="https://github.com/jorgebaccauis/Shift-Variant-System"&gt;GitHub Repository&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Website&lt;/strong&gt;: &lt;a href="https://jorgebaccauis.github.io/Shift-Variant-System/"&gt;Project Site&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Deep Optical Coding Design in Computational Imaging</title><link>https://jorgebaccauis.github.io/project/deep_optical_coding_spm/</link><pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/deep_optical_coding_spm/</guid><description/></item><item><title>JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging</title><link>https://jorgebaccauis.github.io/project/jr2net/</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/jr2net/</guid><description>&lt;p&gt;JR2net tackles compressive spectral reconstruction by integrating non-linear latent representations into the reconstruction optimization process.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Paper&lt;/strong&gt;: &lt;a href="https://arxiv.org/abs/2205.07770"&gt;arXiv:2205.07770&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Code&lt;/strong&gt;: &lt;a href="https://github.com/hdspgroup/JR2net"&gt;GitHub hdspgroup/JR2net&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction</title><link>https://jorgebaccauis.github.io/project/learning/</link><pubDate>Mon, 27 Oct 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/learning/</guid><description>&lt;p&gt;Descripción y recursos en el preprint: &lt;a href="https://arxiv.org/pdf/2510.23892"&gt;https://arxiv.org/pdf/2510.23892&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Deep Scene-Driven Ordering of Hadamard Basis for Single-Pixel Spectral Imaging</title><link>https://jorgebaccauis.github.io/project/hadamard_single_pixel/</link><pubDate>Wed, 15 Jul 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/hadamard_single_pixel/</guid><description/></item><item><title>Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction</title><link>https://jorgebaccauis.github.io/publication/learning_based_spectral_regression/</link><pubDate>Mon, 27 Oct 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/learning_based_spectral_regression/</guid><description>&lt;p&gt;Detailed description, dataset and code references available in the arXiv preprint: &lt;a href="https://arxiv.org/pdf/2510.23892"&gt;https://arxiv.org/pdf/2510.23892&lt;/a&gt;&lt;/p&gt;</description></item><item><title>JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging</title><link>https://jorgebaccauis.github.io/publication/jr2net/</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/jr2net/</guid><description>&lt;p&gt;Code repository: &lt;a href="https://github.com/hdspgroup/JR2net"&gt;https://github.com/hdspgroup/JR2net&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Shift-Variant Color-Coded Diffractive Spectral Imaging System</title><link>https://jorgebaccauis.github.io/publication/shift_variant/</link><pubDate>Mon, 01 Nov 2021 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/shift_variant/</guid><description>&lt;p&gt;Project website: &lt;a href="https://jorgebaccauis.github.io/Shift-Variant-System/"&gt;https://jorgebaccauis.github.io/Shift-Variant-System/&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Two-step Deep Learning Framework for Chronic Wounds Detection and Segmentation: A Case Study in Colombia</title><link>https://jorgebaccauis.github.io/publication/chronic_wounds_stsiva/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/chronic_wounds_stsiva/</guid><description>&lt;p&gt;Publication presented at XXIII STSIVA 2021.&lt;/p&gt;</description></item><item><title>Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction</title><link>https://jorgebaccauis.github.io/publication/deep_ldsir/</link><pubDate>Wed, 01 Sep 2021 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/deep_ldsir/</guid><description>&lt;p&gt;Code available at: &lt;a href="https://github.com/bemc22/DeepLDSIR"&gt;https://github.com/bemc22/DeepLDSIR&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>