Laura Galvis-Carreno
Laura Galvis-Carreno
Other namesLaura Galvis
PhD. Electrical and Computer Engineering - University of Delaware - Postdoc UIS
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Cited by
Cited by
Analysis of user comments: an approach for software requirements evolution
LVG Carreno, K Winbladh
2013 35th international conference on software engineering (ICSE), 582-591, 2013
Coded aperture design in compressive spectral imaging based on side information
L Galvis, D Lau, X Ma, H Arguello, GR Arce
Applied optics 56 (22), 6332-6340, 2017
Coupled deep learning coded aperture design for compressive image classification
J Bacca, L Galvis, H Arguello
Optics express 28 (6), 8528-8540, 2020
Coded aperture design in mismatched compressive spectral imaging
L Galvis, H Arguello, GR Arce
Applied optics 54 (33), 9875-9882, 2015
Temporal Colored Coded Aperture Design in Compressive Spectral Video Sensing
KM León-López, LVG Carreño, HA Fuentes
IEEE Transactions on Image Processing 28 (1), 253-264, 2019
Shifting colored coded aperture design for spectral imaging
L Galvis, E Mojica, H Arguello, GR Arce
Applied Optics 58 (7), B28-B38, 2019
Estimación de propiedades mecánicas de roca utilizando inteligencia artificial
LV Galvis, CA Ochoa, HA Fuentes, JMC Jiménez, ZHC Carrillo
Ingeniería y Ciencia 7 (14), 83-103, 2011
Reconstruction of 2D seismic wavefields from nonuniformly sampled sources
L Galvis, JM Ramírez, E Vargas, O Villarreal, W Agudelo, H Arguello
Electronic Imaging 2020 (14), 307-1-307-6, 2020
Coded aperture design in compressive spectral imaging
L Galvis-Carreno
University of Delaware, 2018
Spatio-spectro-temporal coded aperture design for multiresolution compressive spectral video sensing
KL López, L Galvis, HA Fuentes
2017 25th European Signal Processing Conference (EUSIPCO), 728-732, 2017
Tratamiento digital de imágenes e inteligencia artificial aplicados a la perforación de pozos petroleros
LVG Carreño, HA Fuentes, DM Tarazona
Fuentes: El reventón energético 9 (1), 3, 2011
Single-shot coded diffraction system for 3D object shape estimation
S Pinilla, L Galvis, K Egiazarian, H Arguello
Electronic Imaging 2020 (14), 59-1-59-7, 2020
Synthetic coded apertures in compressive spectral imaging
L Galvis, H Arguello, GR Arce
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Side information in coded aperture compressive spectral imaging
L Galvis, H Arguello, D Lau, GR Arce
Emerging Digital Micromirror Device Based Systems and Applications IX 10117 …, 2017
Reconstruction of multispectral light field (5d plenoptic function) based on compressive sensing with colored coded apertures from 2D projections
KM León-López, LV Galvis-Carreño, H Arguello-Fuentes
Revista Facultad de Ingeniería Universidad de Antioquia, 131-141, 2016
Spectral dynamic scenes reconstruction based in compressive sensing using optical color filters
KM León, L Galvis, H Arguello
Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards …, 2016
Estimation of mechanical properties of rock using artificial intelligence
LV Galvis, C Augusto Ochoa, H Arguello Fuentes, JM Carvajal Jiménez, ...
Ingeniería y Ciencia 7 (14), 83-103, 2011
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
End-to-End Compressive Spectral Classification: A Deep Learning Approach Applied to the Grading of Tahiti Lime
M Silva-Maldonado, L Galvis, H Arguello
International Conference on Smart Technologies, Systems and Applications, 44-57, 2022
Spatio-Spectral Enhancement of Single-Pixel Reconstruction by a Fully Convolutional Neural Network
K Lozano, L Galvis, H Arguello
2020 IEEE Colombian Conference on Applications of Computational Intelligence …, 2020
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