Brayan Monroy on Jorge Baccahttps://jorgebaccauis.github.io/authors/brayan-monroy/Recent content in Brayan Monroy on Jorge BaccaSource Themes academia (https://sourcethemes.com/academic/)en-us© All right reserved by Jorge Bacca, {year}Wed, 15 Jul 2026 00:00:00 +0000Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaginghttps://jorgebaccauis.github.io/project/unrolled_modulo_tci/Wed, 01 Apr 2026 00:00:00 +0000https://jorgebaccauis.github.io/project/unrolled_modulo_tci/Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noisehttps://jorgebaccauis.github.io/project/gr2r_cvpr/Sun, 15 Jun 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/gr2r_cvpr/OptimUS: Optimization-Based Unlimited Sampling Algorithmhttps://jorgebaccauis.github.io/project/optimus_icassp/Wed, 15 Apr 2026 00:00:00 +0000https://jorgebaccauis.github.io/project/optimus_icassp/High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Drivinghttps://jorgebaccauis.github.io/project/modulo/Mon, 12 May 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/modulo/High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Drivinghttps://jorgebaccauis.github.io/publication/modulo/Mon, 12 May 2025 00:00:00 +0000https://jorgebaccauis.github.io/publication/modulo/<!-- <div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Click the <em>Slides</em> button above to demo academia&rsquo;s Markdown slides feature. </div> </div> --> <!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). -->JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaginghttps://jorgebaccauis.github.io/project/jr2net/Sun, 01 May 2022 00:00:00 +0000https://jorgebaccauis.github.io/project/jr2net/<p>JR2net tackles compressive spectral reconstruction by integrating non-linear latent representations into the reconstruction optimization process.</p> <ul> <li><strong>Paper</strong>: <a href="https://arxiv.org/abs/2205.07770">arXiv:2205.07770</a></li> <li><strong>Code</strong>: <a href="https://github.com/hdspgroup/JR2net">GitHub hdspgroup/JR2net</a></li> </ul>Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Predictionhttps://jorgebaccauis.github.io/project/learning/Mon, 27 Oct 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/learning/<p>Descripción y recursos en el preprint: <a href="https://arxiv.org/pdf/2510.23892">https://arxiv.org/pdf/2510.23892</a></p>Deep Scene-Driven Ordering of Hadamard Basis for Single-Pixel Spectral Imaginghttps://jorgebaccauis.github.io/project/hadamard_single_pixel/Wed, 15 Jul 2026 00:00:00 +0000https://jorgebaccauis.github.io/project/hadamard_single_pixel/Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoisinghttps://jorgebaccauis.github.io/project/learning_to_recorrupt/Wed, 25 Mar 2026 00:00:00 +0000https://jorgebaccauis.github.io/project/learning_to_recorrupt/Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Predictionhttps://jorgebaccauis.github.io/publication/learning_based_spectral_regression/Mon, 27 Oct 2025 00:00:00 +0000https://jorgebaccauis.github.io/publication/learning_based_spectral_regression/<p>Detailed description, dataset and code references available in the arXiv preprint: <a href="https://arxiv.org/pdf/2510.23892">https://arxiv.org/pdf/2510.23892</a></p>Deep Robust Object Detection Under High Illumination Conditions Using Modulo Imageshttps://jorgebaccauis.github.io/project/modulo_detection/Wed, 27 Aug 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/modulo_detection/Deep Robust Object Detection Under High Illumination Conditions Using Modulo Imageshttps://jorgebaccauis.github.io/publication/modulo_detection/Wed, 27 Aug 2025 00:00:00 +0000https://jorgebaccauis.github.io/publication/modulo_detection/<!-- <div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Click the <em>Slides</em> button above to demo academia&rsquo;s Markdown slides feature. </div> </div> --> <!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). -->Self-Supervised Low-Light Quantum RGB Image Demosaicinghttps://jorgebaccauis.github.io/project/demosaicing/Wed, 27 Aug 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/demosaicing/Self-Supervised Low-Light Quantum RGB Image Demosaicinghttps://jorgebaccauis.github.io/publication/demosaicing/Wed, 27 Aug 2025 00:00:00 +0000https://jorgebaccauis.github.io/publication/demosaicing/<!-- <div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Click the <em>Slides</em> button above to demo academia&rsquo;s Markdown slides feature. </div> </div> --> <!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). -->Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applicationshttps://jorgebaccauis.github.io/project/autor_modulo/Mon, 12 May 2025 00:00:00 +0000https://jorgebaccauis.github.io/project/autor_modulo/Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applicationshttps://jorgebaccauis.github.io/publication/autor_modulo/Mon, 12 May 2025 00:00:00 +0000https://jorgebaccauis.github.io/publication/autor_modulo/<!-- <div class="alert alert-note"> <div> Click the <em>Cite</em> button above to demo the feature to enable visitors to import publication metadata into their reference management software. </div> </div> <div class="alert alert-note"> <div> Click the <em>Slides</em> button above to demo academia&rsquo;s Markdown slides feature. </div> </div> --> <!-- Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). -->JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaginghttps://jorgebaccauis.github.io/publication/jr2net/Sun, 01 May 2022 00:00:00 +0000https://jorgebaccauis.github.io/publication/jr2net/<p>Code repository: <a href="https://github.com/hdspgroup/JR2net">https://github.com/hdspgroup/JR2net</a></p>Two-step Deep Learning Framework for Chronic Wounds Detection and Segmentation: A Case Study in Colombiahttps://jorgebaccauis.github.io/publication/chronic_wounds_stsiva/Fri, 01 Oct 2021 00:00:00 +0000https://jorgebaccauis.github.io/publication/chronic_wounds_stsiva/<p>Publication presented at XXIII STSIVA 2021.</p>Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstructionhttps://jorgebaccauis.github.io/publication/deep_ldsir/Wed, 01 Sep 2021 00:00:00 +0000https://jorgebaccauis.github.io/publication/deep_ldsir/<p>Code available at: <a href="https://github.com/bemc22/DeepLDSIR">https://github.com/bemc22/DeepLDSIR</a></p>