Santiago Lopez Tapia

Orcid: 0000-0003-2090-7446

According to our database1, Santiago Lopez Tapia authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models.
CoRR, 2024

Real-World Atmospheric Turbulence Correction via Domain Adaptation.
CoRR, 2024

2023
Learning Moore-Penrose based residuals for robust non-blind image deconvolution.
Digit. Signal Process., October, 2023

Atmospheric Turbulence Correction via Variational Deep Diffusion.
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes.
Proceedings of the Medical Imaging with Deep Learning, 2023

Variational Deep Atmospheric Turbulence Correction for Video.
Proceedings of the IEEE International Conference on Image Processing, 2023

Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse.
Proceedings of the IEEE International Conference on Image Processing, 2023

Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI.
Proceedings of the 31st European Signal Processing Conference, 2023

2021
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution.
IEEE Trans. Image Process., 2021

Deep learning approaches to inverse problems in imaging: Past, present and future.
Digit. Signal Process., 2021

Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models.
Digit. Signal Process., 2020

Gated Recurrent Networks for Video Super Resolution.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution.
IEEE Trans. Image Process., 2019

Deep CNNs for Object Detection Using Passive Millimeter Sensors.
IEEE Trans. Circuits Syst. Video Technol., 2019

Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks.
CoRR, 2019

Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Spatially Adaptive Losses for Video Super-resolution with GANs.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semantic Prior Based Generative Adversarial Network for Video Super-Resolution.
Proceedings of the 27th European Signal Processing Conference, 2019

A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution.
Proceedings of the 27th European Signal Processing Conference, 2019

Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model.
Proceedings of the 27th European Signal Processing Conference, 2019

Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features.
Proceedings of the Digital Pathology - 15th European Congress, 2019

A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
Using machine learning to detect and localize concealed objects in passive millimeter-wave images.
Eng. Appl. Artif. Intell., 2018

2017
Evaluation of Cnn Architectures for Gait Recognition Based on Optical Flow Maps.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017

2016
Detection and localization of objects in Passive Millimeter Wave Images.
Proceedings of the 24th European Signal Processing Conference, 2016


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