<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning on Jorge Bacca</title><link>https://jorgebaccauis.github.io/tags/deep-learning/</link><description>Recent content in Deep Learning 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>Tue, 13 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jorgebaccauis.github.io/tags/deep-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging</title><link>https://jorgebaccauis.github.io/project/unrolled_modulo_tci/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/unrolled_modulo_tci/</guid><description/></item><item><title>Computational Correction of Eye Aberrations: A Physical Modeling Approach with Zernike Polynomials and Deep Learning</title><link>https://jorgebaccauis.github.io/project/eye_aberration/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/eye_aberration/</guid><description/></item><item><title>Computational Correction of Eye Aberrations: A Physical Modeling Approach with Zernike Polynomials and Deep Learning</title><link>https://jorgebaccauis.github.io/publication/eye_aberration/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/eye_aberration/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&gt;</description></item><item><title>Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise</title><link>https://jorgebaccauis.github.io/project/gr2r_cvpr/</link><pubDate>Sun, 15 Jun 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/gr2r_cvpr/</guid><description/></item><item><title>High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving</title><link>https://jorgebaccauis.github.io/project/modulo/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/modulo/</guid><description/></item><item><title>High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving</title><link>https://jorgebaccauis.github.io/publication/modulo/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/modulo/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&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>Automated Classification of Cocoa Bean Fermentation Levels Using Computer Vision</title><link>https://jorgebaccauis.github.io/project/cocoa_fermentation/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/cocoa_fermentation/</guid><description/></item><item><title>Automated Classification of Cocoa Bean Fermentation Levels Using Computer Vision</title><link>https://jorgebaccauis.github.io/publication/cocoa_fermentation/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/cocoa_fermentation/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&gt;</description></item><item><title>See the Past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models</title><link>https://jorgebaccauis.github.io/project/see/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/see/</guid><description>&lt;p&gt;Descripción y recursos en el artículo: &lt;a href="https://arxiv.org/pdf/2510.05408"&gt;https://arxiv.org/pdf/2510.05408&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Deep learning-based spectral band selection for hyperspectral imaging tasks</title><link>https://jorgebaccauis.github.io/project/band_selection/</link><pubDate>Tue, 03 Mar 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/band_selection/</guid><description/></item><item><title>Deep learning-based spectral band selection for hyperspectral imaging tasks</title><link>https://jorgebaccauis.github.io/publication/band_selection/</link><pubDate>Tue, 03 Mar 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/band_selection/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&gt;</description></item><item><title>A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision</title><link>https://jorgebaccauis.github.io/project/myopic_vision_restoration/</link><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/myopic_vision_restoration/</guid><description/></item><item><title>A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision</title><link>https://jorgebaccauis.github.io/publication/myopic_vision_restoration/</link><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/myopic_vision_restoration/</guid><description/></item><item><title>Time-Reversed Imaging: A Multimodal Benchmark and Framework for Reconstructing Past Human-Environment Interactions</title><link>https://jorgebaccauis.github.io/project/time_reversed_imaging/</link><pubDate>Fri, 24 Jul 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/time_reversed_imaging/</guid><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 to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising</title><link>https://jorgebaccauis.github.io/project/learning_to_recorrupt/</link><pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/learning_to_recorrupt/</guid><description/></item><item><title>Deep Robust Object Detection Under High Illumination Conditions Using Modulo Images</title><link>https://jorgebaccauis.github.io/project/modulo_detection/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/modulo_detection/</guid><description/></item><item><title>Deep Robust Object Detection Under High Illumination Conditions Using Modulo Images</title><link>https://jorgebaccauis.github.io/publication/modulo_detection/</link><pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/modulo_detection/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&gt;</description></item><item><title>Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications</title><link>https://jorgebaccauis.github.io/project/autor_modulo/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/project/autor_modulo/</guid><description/></item><item><title>Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications</title><link>https://jorgebaccauis.github.io/publication/autor_modulo/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://jorgebaccauis.github.io/publication/autor_modulo/</guid><description>&lt;!-- &lt;div class="alert alert-note"&gt;
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&lt;!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --&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>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>