| 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 | 166 | 2019 |
| 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 | 41 | 2018 |
| 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 | 36 | 2017 |
| Evaluation of CNN architectures for gait recognition based on optical flow maps FM Castro, MJ Marín-Jiménez, N Guil, S López-Tapia, NP de la Blanca 2017 international conference of the biometrics special interest group …, 2017 | 36 | 2017 |
| 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 | 20 | 2016 |
| 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 | 17 | 2020 |
| 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 | 13 | 2021 |
| 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 | 6 | 2021 |
| 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 | 6 | 2021 |
| A fast pyramidal bayesian model for mitosis detection in whole-slide images S López-Tapia, J Aneiros-Fernández, N Pérez de la Blanca Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 5 | 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 | 4 | 2019 |
| Self-supervised fine-tuning for correcting super-resolution convolutional neural networks A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos arXiv preprint arXiv:1912.12879, 2019 | 3 | 2019 |
| 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 | 3 | 2019 |
| 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 | 3 | 2019 |
| 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 | 2 | 2021 |
| GAN-based video super-resolution with direct regularized inversion of the low-resolution formation model S Lopez-Tapia, A Lucas, R Molina, AK Katsaggelos 2019 IEEE International Conference on Image Processing (ICIP), 2886-2890, 2019 | 2 | 2019 |
| Multiple-degradation video super-resolution with direct inversion of the low-resolution formation model S Lopez-Tapia, A Lucas, R Molina, AK Katsaggelos 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 2 | 2019 |
| Atmospheric Turbulence Correction via Variational Deep Diffusion X Wang, S López-Tapia, AK Katsaggelos arXiv preprint arXiv:2305.05077, 2023 | | 2023 |
| Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes J Guo, E Azcona, S Lopez-Tapia, A Katsaggelos Medical Imaging with Deep Learning, 2023 | | 2023 |
| Modelos de Aprendizaje Profundo para el Procesamiento y Clasificación de Imágenes y Vídeo S López Tapia Universidad de Granada, 2021 | | 2021 |
Rafael MolinaProfessor of Computer Science, University of GranadaVerified email at decsai.ugr.es
