Alice Lucas

Orcid: 0000-0001-5914-4154

According to our database1, Alice Lucas authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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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

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
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

2018
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods.
IEEE Signal Process. Mag., 2018

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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