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Joshua L. Vincent

2 accepted papers

2021

Adaptive Denoising via GainTuning

NeurIPS 2021poster

Deep convolutional neural networks (CNNs) for image denoising are typically trained on large datasets. These models achieve the current state of the art, but they do not generalize well to data that deviate from the training distribution. Recent work has shown that it is possible to train denoisers…

Cited by 34SourcePDFScholar
2021

Unsupervised Deep Video Denoising

ICCV 2021poster

Deep convolutional neural networks (CNNs) for video denoising are typically trained with supervision, assuming the availability of clean videos. However, in many applications, such as microscopy, noiseless videos are not available. To address this, we propose an Unsupervised Deep Video Denoiser (UDV…

Cited by 81PDFcodeScholar