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Santiago López Tapia
Santiago López Tapia
Postdoctoral Scholar, Northwestern University
Verified email at northwestern.edu
Title
Cited by
Cited by
Year
Generative adversarial networks and perceptual losses for video super-resolution
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
IEEE Transactions on Image Processing 28 (7), 3312-3327, 2019
2452019
Using machine learning to detect and localize concealed objects in passive millimeter-wave images
S López-Tapia, R Molina, NP de la Blanca
Engineering Applications of Artificial Intelligence 67, 81-90, 2018
502018
Deep CNNs for object detection using passive millimeter sensors
S Lopez-Tapia, R Molina, NP de la Blanca
IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2580-2589, 2017
472017
Evaluation of CNN architectures for gait recognition based on optical flow maps
FM Castro, MJ Marin-Jimenez, N Guil, S Lopez-Tapia, NP de la Blanca
2017 international conference of the biometrics special interest group …, 2017
472017
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands
S López-Tapia, P Ruiz, M Smith, J Matthews, B Zercher, L Sydorenko, ...
International Journal of Applied Earth Observation and Geoinformation 105 …, 2021
262021
Detection and localization of objects in passive millimeter wave images
SL Tapia, R Molina, NP de la Blanca
2016 24th European Signal Processing Conference (EUSIPCO), 2101-2105, 2016
222016
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models
S López-Tapia, A Lucas, R Molina, AK Katsaggelos
Digital Signal Processing 104, 102801, 2020
212020
Deep learning approaches to inverse problems in imaging: Past, present and future
S López-Tapia, R Molina, AK Katsaggelos
Digital Signal Processing 119, 103285, 2021
202021
Fast and robust cascade model for multiple degradation single image super-resolution
S López-Tapia, NP de la Blanca
IEEE Transactions on Image Processing 30, 4747-4759, 2021
112021
Atmospheric turbulence correction via variational deep diffusion
X Wang, S Lόpez-Tapia, AK Katsaggelos
2023 IEEE 6th International Conference on Multimedia Information Processing …, 2023
82023
Variational deep atmospheric turbulence correction for video
S López-Tapia, X Wang, AK Katsaggelos
2023 IEEE International Conference on Image Processing (ICIP), 3568-3572, 2023
62023
Gated recurrent networks for video super resolution
S López-Tapia, A Lucas, R Molina, AK Katsaggelos
2020 28th European Signal Processing Conference (EUSIPCO), 700-704, 2021
52021
Semantic prior based generative adversarial network for video super-resolution
X Wu, A Lucas, S Lopez-Tapia, X Wang, YH Kim, R Molina, ...
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
52019
Spatially adaptive losses for video super-resolution with GANs
X Wang, A Lucas, S Lopez-Tapia, X Wu, R Molina, AK Katsaggelos
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
52019
A fast pyramidal bayesian model for mitosis detection in whole-slide images
S López-Tapia, J Aneiros-Fernández, N Pérez de la Blanca
European Congress on Digital Pathology, 135-143, 2019
52019
Real-World Atmospheric Turbulence Correction via Domain Adaptation
X Wang, S López-Tapia, AK Katsaggelos
arXiv preprint arXiv:2402.07371, 2024
42024
Self-supervised fine-tuning for image enhancement of super-resolution deep neural networks
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
Free radical biology & medicine., 2019
4*2019
Efficient fine-tuning of neural networks for artifact removal in deep learning for inverse imaging problems
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
2019 IEEE International Conference on Image Processing (ICIP), 3591-3595, 2019
42019
Usformer: A small network for left atrium segmentation of 3D LGE MRI
H Lin, S López-Tapia, F Schiffers, Y Wu, S Gunasekaran, J Hwang, ...
Heliyon 10 (7), 2024
32024
Learning Moore-Penrose based residuals for robust non-blind image deconvolution
S López-Tapia, J Mateos, R Molina, AK Katsaggelos
Digital Signal Processing 142, 104193, 2023
32023
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