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Journal Articles
- 2020
[j3]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)- 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) - 2018
- [j1]Alice Lucas, Michael Iliadis, Rafael Molina, Aggelos K. Katsaggelos:
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods. IEEE Signal Process. Mag. 35(1): 20-36 (2018)
Conference and Workshop Papers
- 2020
- [c8]Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Gated Recurrent Networks for Video Super Resolution. EUSIPCO 2020: 700-704 - 2019
- [c7]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 - [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]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 - 2018
- [c1]Alice Lucas, Aggelos K. Katsaggelos, Santiago Lopez Tapia, Rafael Molina:
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. ICIP 2018: 51-55
Informal and Other Publications
- 2024
- [i4]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) - 2019
- [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
- [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)
Coauthor Index
aka: Santiago López-Tapia
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