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ORCIDSantiago Lopez Tapia
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2020 – today
- 2024
[j9]Santiago López-Tapia
, Xijun Wang, Aggelos K. Katsaggelos:
Video Variational Deep Atmospheric Turbulence Correction. IEEE Access 12: 127368-127379 (2024)- [i10]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Real-World Atmospheric Turbulence Correction via Domain Adaptation. CoRR abs/2402.07371 (2024) - [i9]Xijun Wang, Santiago López-Tapia, Alice Lucas, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. CoRR abs/2403.10589 (2024) - [i8]Zhihao Huang, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
VDPI: Video Deblurring with Pseudo-inverse Modeling. CoRR abs/2409.00777 (2024) - [i7]Jiaqi Guo, Santiago López-Tapia, Wing Shun Li, Yunnan Wu, Marcelo Carignano, Vadim Backman, Vinayak P. Dravid, Aggelos K. Katsaggelos:
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations. CoRR abs/2409.13930 (2024) - [i6]Hui Lin, Florian Schiffers, Santiago López-Tapia, Neda Tavakoli, Daniel Kim, Aggelos K. Katsaggelos:
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning. CoRR abs/2409.18340 (2024) - 2023
- [j8]Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. 142: 104193 (2023) - [c17]Hui Lin, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos:
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. EUSIPCO 2023: 995-999 - [c16]Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP 2023: 775-779 - [c15]Santiago López-Tapia, Xijun Wang, Aggelos K. Katsaggelos:
Variational Deep Atmospheric Turbulence Correction for Video. ICIP 2023: 3568-3572 - [c14]Jiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos:
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes. MIDL 2023: 888-904 - [c13]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Atmospheric Turbulence Correction via Variational Deep Diffusion. MIPR 2023: 1-4 - [i5]Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos:
Atmospheric Turbulence Correction via Variational Deep Diffusion. CoRR abs/2305.05077 (2023) - 2021
- [j7]Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos:
Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands. Int. J. Appl. Earth Obs. Geoinformation 105: 102581 (2021) - [j6]Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Deep learning approaches to inverse problems in imaging: Past, present and future. Digit. Signal Process. 119: 103285 (2021) - [j5]Santiago López-Tapia, Nicolás Pérez de la Blanca:
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution. IEEE Trans. Image Process. 30: 4747-4759 (2021) - 2020
- [j4]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models. Digit. Signal Process. 104: 102801 (2020) - [c12]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Gated Recurrent Networks for Video Super Resolution. EUSIPCO 2020: 700-704 - [i4]Santiago López-Tapia, Nicolás Pérez de la Blanca:
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution. CoRR abs/2011.07068 (2020)
2010 – 2019
- 2019
- [j3]Santiago López-Tapia, Rafael Molina, Nicolás Pérez de la Blanca:
Deep CNNs for Object Detection Using Passive Millimeter Sensors. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2580-2589 (2019) - [j2]Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. IEEE Trans. Image Process. 28(7): 3312-3327 (2019) - [c11]Santiago López-Tapia, José Aneiros-Fernández, Nicolás Pérez de la Blanca:
A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images. ECDP 2019: 135-143 - [c10]Santiago López-Tapia, Cristobal Olivencia, José Aneiros-Fernández, Nicolás Pérez de la Blanca:
Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features. ECDP 2019: 144-152 - [c9]Santiago Lopez Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model. EUSIPCO 2019: 1-5 - [c8]Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution. EUSIPCO 2019: 1-5 - [c7]Xinyi Wu, Alice Lucas, Santiago López-Tapia, Xijun Wang, Yul Hee Kim, Rafael Molina, Aggelos K. Katsaggelos:
Semantic Prior Based Generative Adversarial Network for Video Super-Resolution. EUSIPCO 2019: 1-5 - [c6]Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos:
Spatially Adaptive Losses for Video Super-resolution with GANs. ICASSP 2019: 1697-1701 - [c5]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model. ICIP 2019: 2886-2890 - [c4]Alice Lucas, Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems. ICIP 2019: 3591-3595 - [i3]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. CoRR abs/1907.01399 (2019) - [i2]Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks. CoRR abs/1912.12879 (2019) - 2018
- [j1]Santiago Lopez Tapia, Rafael Molina, Nicolas Pérez de la Blanca:
Using machine learning to detect and localize concealed objects in passive millimeter-wave images. Eng. Appl. Artif. Intell. 67: 81-90 (2018) - [c3]Alice Lucas, Aggelos K. Katsaggelos, Santiago Lopez Tapia, Rafael Molina:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. ICIP 2018: 51-55 - [i1]Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. CoRR abs/1806.05764 (2018) - 2017
- [c2]Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Santiago Lopez Tapia, Nicolas Pérez de la Blanca:
Evaluation of Cnn Architectures for Gait Recognition Based on Optical Flow Maps. BIOSIG 2017: 251-258 - 2016
- [c1]Santiago Lopez Tapia, Rafael Molina, Nicolas Pérez de la Blanca:
Detection and localization of objects in Passive Millimeter Wave Images. EUSIPCO 2016: 2101-2105
Coauthor Index
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