| Shift-variant color-coded diffractive spectral imaging system H Arguello, S Pinilla, Y Peng, H Ikoma, J Bacca, G Wetzstein Optica 8 (11), 1424-1434, 2021 | 62 | 2021 |
| Coded aperture design for compressive spectral subspace clustering C Hinojosa, J Bacca, H Arguello IEEE Journal of Selected Topics in Signal Processing 12 (6), 1589-1600, 2018 | 54 | 2018 |
| Coupled deep learning coded aperture design for compressive image classification J Bacca, L Galvis, H Arguello Optics express 28 (6), 8528-8540, 2020 | 50 | 2020 |
| 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 | 44 | 2021 |
| Noniterative hyperspectral image reconstruction from compressive fused measurements J Bacca, CV Correa, H Arguello IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 40 | 2019 |
| Compressive spectral image reconstruction using deep prior and low-rank tensor representation J Bacca, Y Fonseca, H Arguello Applied optics 60 (14), 4197-4207, 2021 | 37 | 2021 |
| Phase retrieval algorithm via nonconvex minimization using a smoothing function S Pinilla, J Bacca, H Arguello IEEE Transactions on Signal Processing 66 (17), 4574-4584, 2018 | 37 | 2018 |
| Deep optical coding design in computational imaging: a data-driven framework H Arguello, J Bacca, H Kariyawasam, E Vargas, M Marquez, ... IEEE Signal Processing Magazine 40 (2), 75-88, 2023 | 26* | 2023 |
| Super-resolution phase retrieval from designed coded diffraction patterns J Bacca, S Pinilla, H Arguello IEEE Transactions on Image Processing 29, 2598-2609, 2019 | 21 | 2019 |
| Kernel sparse subspace clustering with total variation denoising for hyperspectral remote sensing images J Bacca, CA Hinojosa, H Arguello Mathematics in Imaging, MTu4C. 5, 2017 | 21 | 2017 |
| SPUD: simultaneous phase unwrapping and denoising algorithm for phase imaging J Pineda, J Bacca, J Meza, LA Romero, H Arguello, AG Marrugo Applied Optics 59 (13), D81-D88, 2020 | 19 | 2020 |
| Computational spectral imaging: a contemporary overview J Bacca, E Martinez, H Arguello JOSA A 40 (4), C115-C125, 2023 | 18 | 2023 |
| DUF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion R Jacome, J Bacca, H Arguello IEEE Journal of Selected Topics in Signal Processing 17 (2), 502-512, 2022 | 15 | 2022 |
| Compressive classification from single pixel measurements via deep learning J Bacca, CV Correa, E Vargas, S Castillo, H Arguello 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 15 | 2019 |
| JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging B Monroy, J Bacca, H Arguello Applied Optics 61, 7757-7766, 2022 | 11 | 2022 |
| Classification of cocoa beans based on their level of fermentation using spectral information K Sánchez, J Bacca, L Arévalo-Sánchez, H Arguello, S Castillo TecnoLógicas 24 (50), 172-188, 2021 | 11 | 2021 |
| Spectral imaging subspace clustering with 3-d spatial regularizer CA Hinojosa, J Bacca, H Arguello Applications of Lasers for Sensing and Free Space Communications, JW5E. 7, 2018 | 9 | 2018 |
| Deep-fusion: An end-to-end approach for compressive spectral image fusion R Jacome, J Bacca, H Arguello 2021 IEEE International Conference on Image Processing (ICIP), 2903-2907, 2021 | 8 | 2021 |
| 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 | 8 | 2021 |
| Mixture-net: Low-rank deep image prior inspired by mixture models for spectral image recovery T Gelvez-Barrera, J Bacca, H Arguello arXiv preprint arXiv:2211.02973, 2022 | 7 | 2022 |
Henry Arguelloprofessor Universidad Industrial de Santander, Colombia在 uis.edu.co 的电子邮件经过验证
