Miguel Marquez

Orcid: 0000-0003-3808-5751

According to our database1, Miguel Marquez authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

2022
Deep-Learning Supervised Snapshot Compressive Imaging Enabled by an End-to-End Adaptive Neural Network.
IEEE J. Sel. Top. Signal Process., 2022

Deep Optical Coding Design in Computational Imaging.
CoRR, 2022

Cocosvi: Single Snapshot Compressive Spectral Video Via Covariance Matrix Estimation.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Hierarchical Compressed Subspace Clustering Of Infrared Single-Pixel Measurements.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Compressive Spectral Imaging Via Virtual Side Information.
IEEE Trans. Computational Imaging, 2021

Adaptive coded aperture design for compressive computed tomography.
J. Comput. Appl. Math., 2021

Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Compressive Spectral Light Field Image Reconstruction via Online Tensor Representation.
IEEE Trans. Image Process., 2020

Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals.
IEEE Trans. Computational Imaging, 2020

Super-Resolution in Compressive Coded Imaging Systems via l2 - l1 - l2 Minimization Under a Deep Learning Approach.
Proceedings of the Data Compression Conference, 2020

2019
Coded aperture optimization for single pixel compressive computed tomography.
J. Comput. Appl. Math., 2019


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