| Bayesian 3D reconstruction of subsampled multispectral single-photon lidar signals J Tachella, Y Altmann, M Márquez, H Arguello-Fuentes, JY Tourneret, ... IEEE Transactions on Computational Imaging 6, 208-220, 2019 | 25 | 2019 |
| Compressive spectral light field image reconstruction via online tensor representation M Marquez, H Rueda-Chacon, H Arguello IEEE Transactions on Image Processing 29, 3558-3568, 2020 | 20 | 2020 |
| Compressive spectral imaging via deformable mirror and colored-mosaic detector M Marquez, P Meza, H Arguello, E Vera Optics Express 27 (13), 17795-17808, 2019 | 19 | 2019 |
| Privhar: Recognizing human actions from privacy-preserving lens C Hinojosa, M Marquez, H Arguello, E Adeli, L Fei-Fei, JC Niebles European Conference on Computer Vision, 314-332, 2022 | 16 | 2022 |
| Snapshot compressive spectral depth imaging from coded aberrations M Marquez, P Meza, F Rojas, H Arguello, E Vera Optics Express 29 (6), 8142-8159, 2021 | 16 | 2021 |
| 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 | 15 | 2023 |
| Deep-learning supervised snapshot compressive imaging enabled by an end-to-end adaptive neural network M Marquez, Y Lai, X Liu, C Jiang, S Zhang, H Arguello, J Liang IEEE Journal of Selected Topics in Signal Processing 16 (4), 688-699, 2022 | 14 | 2022 |
| Compressive spectral image super-resolution by using singular value decomposition M Marquez, Y Mejia, H Arguello Optics Communications 404, 163-168, 2017 | 11 | 2017 |
| Deep optical coding design in computational imaging H Arguello, J Bacca, H Kariyawasam, E Vargas, M Marquez, ... arXiv preprint arXiv:2207.00164, 2022 | 7 | 2022 |
| Compressive covariance matrix estimation from a dual-dispersive coded aperture spectral imager J Monsalve, M Marquez, I Esnaola, H Arguello 2021 IEEE International Conference on Image Processing (ICIP), 2823-2827, 2021 | 6 | 2021 |
| Adaptive coded aperture design for compressive computed tomography A Jerez, M Márquez, H Arguello Journal of Computational and Applied Mathematics 384, 113174, 2021 | 6 | 2021 |
| Coded aperture optimization for single pixel compressive computed tomography M Marquez, H Arguello Journal of Computational and Applied Mathematics 348, 58-69, 2019 | 6 | 2019 |
| Compressive computed tomography image reconstruction by using the analysis of the internal structure of an object A Jerez, M Márquez, H Arguello 2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016 | 6 | 2016 |
| Compressive spectral imaging via virtual side information M Marquez, H Rueda-Chacon, H Arguello IEEE Transactions on Computational Imaging 7, 114-123, 2021 | 5 | 2021 |
| Data sinogram sparse reconstruction based on steering kernel regression and filtering strategies MA Marquez, E Mojica, H Arguello Anomaly Detection and Imaging with X-Rays (ADIX) 9847, 251-258, 2016 | 4 | 2016 |
| Short‐wave Infrared Photoluminescence Lifetime Mapping of Rare‐Earth Doped Nanoparticles Using All‐Optical Streak Imaging M Liu, Y Lai, M Marquez, F Vetrone, J Liang Advanced Science 11 (11), 2305284, 2024 | 3 | 2024 |
| Metalens-Based Compressed Ultracompact Femtophotography: Analytical Modeling and Simulations M Marquez, G Balistreri, R Morandotti, L Razzari, J Liang Ultrafast Science 4, 0052, 2024 | 3 | 2024 |
| Design of a compressive sampling strategy in a computed tomography cone-beam architecture H Maldonado, M Márquez, H Arguello 2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016 | 3 | 2016 |
| Single pixel near-infrared imaging for spectral classification J Bacca, M Marquez, H Arguello Computational Optical Sensing and Imaging, CW1B. 2, 2022 | 2 | 2022 |
| Single snapshot system for compressive covariance matrix estimation for hyperspectral imaging via lenslet array G Blanco, J Perez, J Monsalve, M Marquez, I Esnaola, H Arguello 2021 XXIII Symposium on Image, Signal Processing and Artificial Vision …, 2021 | 2 | 2021 |
Pablo MezaUniversida de La Frontera在 ufrontera.cl 的电子邮件经过验证
