2 papers
cs.CV2019
Few-Shot Meta-Denoising
Leslie Casas, Attila Klimmek, Gustavo Carneiro +2
We study the problem of few-shot learning-based denoising where the training set contains just a handful of clean and noisy samples. A solution to mitigate the small training set i…
cs.LG2018
Adversarial Signal Denoising with Encoder-Decoder Networks
Leslie Casas, Attila Klimmek, Nassir Navab +1
The presence of noise is common in signal processing regardless the signal type. Deep neural networks have shown good performance in noise removal, especially on the image domain.…