Jorge Bacca

According to our database, Jorge Bacca authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CO2Wounds-V2 Extended Chronic Wounds Dataset From Leprosy Patients with Segmentation and Detection Labels.

Karen Sanchez, Carlos Hinojosa, Brayan Monroy, Paula Arguello, Claudia V. Correa P., Jorge Bacca, Olinto Mieles, Chen Zhao, Bernard Ghanem, Henry Arguello

Dataset, June, 2024

Deep Unrolled Single Snapshot Phase Retrieval via Non-Convex Formulation and Phase Mask Design.

Andrés Jerez, Juan Estupiñán, Jorge Bacca, Henry Arguello

IEEE J. Sel. Top. Signal Process., May, 2024

Mixture-Net: Low-rank deep image prior inspired by mixture models for spectral image recovery.

Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello

Signal Process., March, 2024

Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging.

Romario Gualdrón-Hurtado, Henry Arguello, Jorge Bacca

IEEE Trans. Computational Imaging, 2024

Hadamard Row-Wise Generation Algorithm.

Brayan Monroy, Jorge Bacca

CoRR, 2024

Designed Dithering Sign Activation for Binary Neural Networks.

Brayan Monroy, Juan Estupiñán, Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello

CoRR, 2024

Predicting The Spectrum: Deep Adaptive Sensing for Hadamard Single Pixel Spectral Imaging.

Brayan Monroy, Jorge Bacca, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Plug-and-Play Algorithm for Unsaturated Imaging.

Jorge Bacca, Brayan Monroy, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2024

Plug-And-Play Algorithm Coupled with Low-Rank Quadratic Envelope Regularization for Compressive Spectral Imaging.

Jorge Bacca, Marcus Carlsson, Brayan Monroy, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Automated chronic wounds medical assessment and tracking framework based on deep learning.

Brayan Monroy, Karen Sanchez, Paula Arguello, Juan Estupiñán, Jorge Bacca, Claudia V. Correa P., Laura Valencia, Juan C. Castillo, Olinto Mieles, Henry Arguello, Sergio Castillo, Fernando Rojas Morales

Comput. Biol. Medicine, October, 2023

Deep Optical Coding Design in Computational Imaging: A data-driven framework.

Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Miguel Marquez, Ramith Hettiarachchi, Hans Garcia, Kithmini Herath, Udith Haputhanthri, Balpreet Singh Ahluwalia, Peter T. C. So, Dushan N. Wadduwage, Chamira U. S. Edussooriya

IEEE Signal Process. Mag., March, 2023

D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.

Roman Jacome, Jorge Bacca, Henry Arguello

IEEE J. Sel. Top. Signal Process., March, 2023

Computational Spectral Imaging: A Contemporary Overview.

Jorge Bacca, Emmanuel Martinez, Henry Arguello

CoRR, 2023

Deep Adaptive Superpixels For Hadamard Single Pixel Imaging In Near-Infrared Spectrum.

Brayan Monroy, Jorge Bacca, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2023

Stochastic Deep Image Prior for Multishot Compressive Spectral Image Fusion.

Roman Jacome, Brayan Monroy, Jorge Bacca, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2023

ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration.

Emmanuel Martinez, Jorge Bacca, Tatiana Gelvez-Barrera, Henry Arguello

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Deep Optical Coding Design in Computational Imaging.

Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Miguel Marquez, Ramith Hettiarachchi, Hans Garcia, Kithmini Herath, Udith Haputhanthri, Balpreet Singh Ahluwalia, Peter T. C. So, Dushan N. Wadduwage, Chamira U. S. Edussooriya

CoRR, 2022

D²UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.

Roman Jacome, Jorge Bacca, Henry Arguello

CoRR, 2022

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

Brayan Monroy, Jorge Bacca, Henry Arguello

CoRR, 2022

Deep Coding Patterns Design for Compressive Near-Infrared Spectral Classification.

Jorge Bacca, Alejandra Hernandez-Rojas, Henry Arguello

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks.

Jorge Bacca, Tatiana Gelvez-Barrera, Henry Arguello

IEEE Trans. Computational Imaging, 2021

Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction.

Brayan Monroy, Jorge Bacca, Henry Arguello

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Deep-Fusion: An End-To-End Approach for Compressive Spectral Image Fusion.

Roman Jacome, Jorge Bacca, Henry Arguello

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Interpretable Deep Image Prior Method Inspired In Linear Mixture Model For Compressed Spectral Image Recovery.

Tatiana Gelvez, Jorge Bacca, Henry Arguello

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Transmittance Regularizer for Binary coded Aperture Design in a Computational Imaging end-to-end Approach.

Jorge Bacca, Tatiana Gelvez, Henry Arguello

Proceedings of the IEEE International Conference on Acoustics, 2021

Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution.

Tatiana Gelvez, Jorge Bacca, Henry Arguello

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Super-Resolution Phase Retrieval From Designed Coded Diffraction Patterns.

Jorge Bacca, Samuel Pinilla, Henry Arguello

IEEE Trans. Image Process., 2020

Compressive Classification via Deep Learning using Single-Pixel Measurements.

Jorge Bacca, Nelson Diaz, Henry Arguello

Proceedings of the Data Compression Conference, 2020

2019

Noniterative Hyperspectral Image Reconstruction From Compressive Fused Measurements.

Jorge Bacca, Claudia V. Correa P., Henry Arguello

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering.

Carlos Hinojosa, Jorge Bacca, Edwin Vargas, Sergio Castillo, Henry Arguello

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Compressive Classification from Single Pixel Measurements Via Deep Learning.

Jorge Bacca, Claudia V. Correa P., Edwin Vargas, Sergio Castillo, Henry Arguello

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Coded Aperture Design for Super-Resolution Phase Retrieval.

Jorge Bacca, Samuel Pinilla, Henry Arguello

Proceedings of the 27th European Signal Processing Conference, 2019

A Non-iterative Reconstruction Algorithm for Single Pixel Spectral Imaging with Side Information.

Jorge Bacca, Claudia V. Correa P., Henry Arguello

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Phase Retrieval Algorithm via Nonconvex Minimization Using a Smoothing Function.

Samuel Pinilla, Jorge Bacca, Henry Arguello

IEEE Trans. Signal Process., 2018

Coded Aperture Design for Compressive Spectral Subspace Clustering.

Carlos Hinojosa, Jorge Bacca, Henry Arguello

IEEE J. Sel. Top. Signal Process., 2018

Robust Formulation for Solving Underdetermined Random Linear System of Equations Via Admm.

Edwin Vargas, Samuel Pinilla, Jorge Bacca, Henry Arguello

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Smoothing Stochastic Phase Retrieval Algorithm for Solving Random Quadratic Systems.

Samuel Pinilla, Jorge Bacca, Jean-Yves Tourneret, Henry Arguello

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Phase Retrieval via Smoothing Projected Gradient Method.

Samuel Pinilla, Jorge Bacca, Jhon Angarita, Henry Arguello

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Framework for the design and development of motivational augmented reality learning experiences in vocational education and training.

Jorge Bacca

PhD thesis, 2017

A constrained formulation for compressive spectral image reconstruction using linear mixture models.

Jorge Bacca, Héctor Vargas, Henry Arguello

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017