Jorge Bacca

Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Marquez, R. Hettiarachchi, Hans Garcia, K. Herath, U. Haputhanthri, B. S. Ahluwalia, P. So, D. N. Wadduwage, C. U. S. Edussooriya

IEEE Signal Processing Magazine, vol. 40, no. 2, pp. 75–88, 2023 2023

JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging

Brayan Monroy, Jorge Bacca, Henry Arguello

arXiv:2205.07770 2022

Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction

Kebin Contreras, Emmanuel Martinez, Brayan Monroy, Sebastian Ardila, Cristian Ramirez, Mariana Caicedo, Hans Garcia, Tatiana Gelvez-Barrera, Juan Poveda-Jaramillo, Henry Arguello, Jorge Bacca

arXiv:2510.23892 2025

Automated Classification of Cocoa Bean Fermentation Levels Using Computer Vision

Juan Suarez, Juan Espinosa, Kebin Contreras, Jorge Bacca

2025 XXV Symposium of Image, Signal Processing, and Artificial Vision (STSIVA) 2025

See the Past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models

Kebin Contreras, Luis Toscano-Palomino, Mauro Dalla Mura, Jorge Bacca

IEEE International Conference on Image Processing (ICIP), 2026, pp. 1–6 2026

Deep learning-based spectral band selection for hyperspectral imaging tasks

Emmanuel Martinez, Kebin Contreras, Jorge Bacca

Applied Optics, 65(13), F75–F85 2026

Assistant Professor at UIS & Leader of PI Group

PUBLICATIONS

A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision

Time-Reversed Imaging: A Multimodal Benchmark and Framework for Reconstructing Past Human-Environment Interactions

Deep Scene-Driven Ordering of Hadamard Basis for Single-Pixel Spectral Imaging

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising

A Multimodal hyperspectral dataset of cocoa beans with physicochemical annotation

Deep Robust Object Detection Under High Illumination Conditions Using Modulo Images

Self-Supervised Low-Light Quantum RGB Image Demosaicing

Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications

Deep Lightweight Unrolled Network for High Dynamic Range Modulo Imaging

Computational Correction of Eye Aberrations: A Physical Modeling Approach with Zernike Polynomials and Deep Learning

Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise

Shift-Variant Color-Coded Diffractive Spectral Imaging System

OptimUS: Optimization-Based Unlimited Sampling Algorithm

High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving

Deep Optical Coding Design in Computational Imaging

JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging

Learning-based Spectral Regression for Cocoa Bean Physicochemical Property Prediction

Automated Classification of Cocoa Bean Fermentation Levels Using Computer Vision

See the Past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models

Deep learning-based spectral band selection for hyperspectral imaging tasks

Experience

Postdoctoral & Visiting Researcher (PHAIMS)

Founder & Director — PI Group

Assistant Professor

Consulting Associate Editor

Postdoctoral Researcher & Adjunct Lecturer

Researcher / Ph.D. Candidate

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