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Tatiana Gelvez-Barrera
Tatiana Gelvez-Barrera
Ph.D. in Electrical Engineering, Université de Lyon, CREATIS, former affiliation: Universidad
Verified email at saber.uis.edu.co
Title
Cited by
Cited by
Year
Deep coded aperture design: An end-to-end approach for computational imaging tasks
J Bacca, T Gelvez-Barrera, H Arguello
IEEE Transactions on Computational Imaging 7, 1148-1160, 2021
382021
Joint sparse and low rank recovery algorithm for compressive hyperspectral imaging
T Gelvez, H Rueda, H Arguello
Applied optics 56 (24), 6785-6795, 2017
282017
Nonlocal Low-Rank Abundance Prior for Compressive Spectral Image Fusion
T Gelvez, H Arguello
IEEE Transactions on Geoscience and Remote Sensing 59 (1), 415-425, 2020
212020
Supervised Classification of Histopathological Images Using Convolutional Neuronal Networks for Gastric Cancer Detection
F Leon, M Gelvez, Z Jaimes, T Gelvez, H Arguello
2019 XXII Symposium on Image, Signal Processing and Artificial Vision …, 2019
142019
Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral–Multispectral Image Fusion
T Gelvez-Barrera, H Arguello, A Foi
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
122022
Interpretable Deep Image Prior Method Inspired In Linear Mixture Model For Compressed Spectral Image Recovery
T Gelvez, J Bacca, H Arguello
2021 IEEE International Conference on Image Processing (ICIP), 1934-1938, 2021
82021
Mixture-net: Low-rank deep image prior inspired by mixture models for spectral image recovery
T Gelvez-Barrera, J Bacca, H Arguello
Signal Processing 216, 109296, 2024
72024
Spectral Image Fusion from Compressive Projections Using Total-Variation and Low-Rank Regularizations
T Gelvez, H Arguello
2018 26th European Signal Processing Conference (EUSIPCO), 1985-1989, 2018
52018
Robust Compressive Spectral Image Recovery Algorithm Using Dictionary Learning and Transform Tensor SVD
Y Fonseca, T Gelvez, HA Fuentes
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
22019
Simultaneously sparse and low-rank hyperspectral image recovery from coded aperture compressive measurements via convex optimization
TC Gélvez, HF Rueda, H Arguello
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2016
22016
Seismic Source Recovery Algorithm via Internal Learning in the Cross-spread Domain
S Rivera, I Ortiz, T Gelvez-Barrera, L Galvis, H Arguello
Fourth HGS/EAGE Conference on Latin America 2022 (1), 1-5, 2022
12022
Invariant Coded Aperture Design for Compressive Imaging
J Bacca, T Gelvez-Barrera, H Arguello
Adaptive Optics and Applications, JTh2A. 9, 2022
12022
Hyperspectral-Multispectral Image Fusion with Rank Estimation by using a Joint-sparse Regularizer
I Ortiz, S Rivera, T Gelvez, F Rojas, H Arguello
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision …, 2021
12021
Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution
T Gelvez, J Bacca, H Arguello
2021 29th European Signal Processing Conference (EUSIPCO), 696-700, 2021
12021
Transmittance Regularizer for Binary coded Aperture Design in a Computational Imaging end-to-end Approach
J Bacca, T Gelvez, H Arguello
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Recovering spectral images from compressive measurements using designed coded apertures and Matrix Completion Theory
T Gelvez, H Rueda, H Arguello
Ingeniería y Universidad 21 (2), 213-229, 2017
12017
Coded aperture design for hyper-spectral image recovery via Matrix Completion
T Gélvez, H Arguello, H Rueda
2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA …, 2015
12015
ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration
E Martinez, J Bacca, T Gelvez-Barrera, H Arguello
2023 31st European Signal Processing Conference (EUSIPCO), 1-5, 2023
2023
Seismic Shot Recovery via Low-Rank Tensor Modeling on the Cross-Spread Domain
I Ortiz, T Gelvez-Barrera, L Galvis, H Arguello
2023 31st European Signal Processing Conference (EUSIPCO), 855-859, 2023
2023
Frederic Dufaux, CNRS, Université Paris-Saclay Pierre Duhamel, Cnrs Jindrich Dunik, University of West Bohemia Sayantan Dutta, University of Toulouse, IRIT
F Elvander, V Elvira, A Erdogan, M Ertas, CA Erturk, J Escudero, ...
https://ieeexplore.ieee.org/document/10290029?denied=, 2023
2023
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