Tatiana Gelvez

According to our database, Tatiana Gelvez authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

Efficient Convolutional Forward Model for Passive Acoustic Mapping and Temporal Monitoring.

Tatiana Gelvez-Barrera, Barbara Nicolas, Bruno Gilles, Adrian Basarab, Denis Kouamé

CoRR, January, 2026

2025

Time-Domain Linear Model-based Framework for Passive Acoustic Mapping of Cavitation Activity.

Tatiana Gelvez-Barrera, Barbara Nicolas, Denis Kouamé, Bruno Gilles, Adrian Basarab

CoRR, November, 2025

Time-domain Beamforming for Room Acoustics Analysis based on Reverberant Field Estimation.

Tatiana Gelvez-Barrera, Quentin Leclère, Barbara Nicolas, Jérôme Antoni, Adrian Basarab

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Designed Dithering Sign Activation for Binary Neural Networks.

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

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

2023

Seismic Shot Recovery via Low-Rank Tensor Modeling on the Cross-Spread Domain.

Iván Ortiz, Tatiana Gelvez-Barrera, Laura Galvis, Henry Arguello

Proceedings of the 31st European Signal Processing Conference, 2023

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

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

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral-Multispectral Image Fusion.

Tatiana Gelvez-Barrera, Henry Arguello, Alessandro Foi

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Nonlocal Low-Rank Abundance Prior for Compressive Spectral Image Fusion.

Tatiana Gelvez, Henry Arguello

IEEE Trans. Geosci. Remote. Sens., 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

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

2019

Robust Compressive Spectral Image Recovery Algorithm Using Dictionary Learning and Transform Tensor SVD.

Yesid Fonseca, Tatiana Gelvez, Henry Arguello Fuentes

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Spectral Image Fusion from Compressive Projections Using Total-Variation and Low-Rank Regularizations.

Tatiana Gelvez, Henry Arguello

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Boolean approximation of a phase-coded aperture diffraction pattern system for X-ray crystallography.

Samuel Pinilla, Tatiana Gelvez, Henry Arguello

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