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ORCIDTatiana Gelvez-Barrera
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Journal Articles
- 2024
[j3]Tatiana Gelvez-Barrera
, Jorge Bacca, Henry Arguello:
Mixture-Net: Low-rank deep image prior inspired by mixture models for spectral image recovery. Signal Process. 216: 109296 (2024)- 2022
- [j2]Tatiana Gelvez-Barrera, Henry Arguello, Alessandro Foi:
Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral-Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - 2021
- [j1]Jorge Bacca, Tatiana Gelvez-Barrera, Henry Arguello:
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks. IEEE Trans. Computational Imaging 7: 1148-1160 (2021)
Conference and Workshop Papers
- 2023
- [c2]Emmanuel Martinez, Jorge Bacca, Tatiana Gelvez-Barrera, Henry Arguello:
ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration. EUSIPCO 2023: 1-5 - [c1]Iván Ortiz, Tatiana Gelvez-Barrera, Laura Galvis, Henry Arguello:
Seismic Shot Recovery via Low-Rank Tensor Modeling on the Cross-Spread Domain. EUSIPCO 2023: 855-859
Informal and Other Publications
- 2024
- [i2]Brayan Monroy, Juan Estupiñán, Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello:
Designed Dithering Sign Activation for Binary Neural Networks. CoRR abs/2405.02220 (2024) - 2022
- [i1]Tatiana Gelvez-Barrera, Jorge Bacca, Henry Arguello:
Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery. CoRR abs/2211.02973 (2022)
Coauthor Index
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