Jorge Bacca

Orcid: 0000-0003-0381-6972

According to our database1, Jorge Bacca authored at least 37 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mixture-Net: Low-rank deep image prior inspired by mixture models for spectral image recovery.
Signal Process., March, 2024

2023
Automated chronic wounds medical assessment and tracking framework based on deep learning.
Comput. Biol. Medicine, October, 2023

Deep Optical Coding Design in Computational Imaging: A data-driven framework.
IEEE Signal Process. Mag., March, 2023

D$^\text{2}$UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.
IEEE J. Sel. Top. Signal Process., March, 2023

Computational Spectral Imaging: A Contemporary Overview.
CoRR, 2023

Deep Adaptive Superpixels For Hadamard Single Pixel Imaging In Near-Infrared Spectrum.
Proceedings of the IEEE International Conference on Acoustics, 2023

Stochastic Deep Image Prior for Multishot Compressive Spectral Image Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Deep Optical Coding Design in Computational Imaging.
CoRR, 2022

D<sup>2</sup>UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion.
CoRR, 2022

JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging.
CoRR, 2022

Deep Coding Patterns Design for Compressive Near-Infrared Spectral Classification.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks.
IEEE Trans. Computational Imaging, 2021

Deep Low-Dimensional Spectral Image Representation for Compressive Spectral Reconstruction.
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.
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.
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.
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.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Super-Resolution Phase Retrieval From Designed Coded Diffraction Patterns.
IEEE Trans. Image Process., 2020

Compressive Classification via Deep Learning using Single-Pixel Measurements.
Proceedings of the Data Compression Conference, 2020

2019
Noniterative Hyperspectral Image Reconstruction From Compressive Fused Measurements.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Compressive Classification from Single Pixel Measurements Via Deep Learning.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Promoting Inclusion Using OER in Vocational Education and Training Programs.
Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019

Coded Aperture Design for Super-Resolution Phase Retrieval.
Proceedings of the 27th European Signal Processing Conference, 2019

A Non-iterative Reconstruction Algorithm for Single Pixel Spectral Imaging with Side Information.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Phase Retrieval Algorithm via Nonconvex Minimization Using a Smoothing Function.
IEEE Trans. Signal Process., 2018

Coded Aperture Design for Compressive Spectral Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2018

Robust Formulation for Solving Underdetermined Random Linear System of Equations Via Admm.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Smoothing Stochastic Phase Retrieval Algorithm for Solving Random Quadratic Systems.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Phase Retrieval via Smoothing Projected Gradient Method.
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.
PhD thesis, 2017

A constrained formulation for compressive spectral image reconstruction using linear mixture models.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2014
Augmented Reality Trends in Education: A Systematic Review of Research and Applications.
J. Educ. Technol. Soc., 2014

2013
A Case-based Reasoning Approach to Validate Grammatical Gender and Number Agreement in Spanish language.
Int. J. Interact. Multim. Artif. Intell., 2013

2012
A Case-Based Reasoning Approach to Support Teaching of Spanish as a Second Language in Indigenous Communities from Latin America.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011
LORSE: Intelligent meta-searcher of learning objects over distributed educational repositories based on intelligent agents.
Proceedings of the 2011 Frontiers in Education Conference, 2011


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