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Aupendu Kar

2 accepted papers

2021

Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network

CVPR 2021poster

Convolutional neural network (CNN) has achieved unprecedented success in image super-resolution tasks in recent years. However, the network's performance depends on the distribution of the training sets and degrades on out-of-distribution samples. This paper adopts a Bayesian approach for estimating…

Cited by 20PDFcodeScholar
2021

Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model

CVPR 2021poster

Real-world image degradation due to light scattering can be described based on the Koschmieder's model. Training deep models to restore such degraded images is challenging as real-world paired data is scarcely available and synthetic paired data may suffer from domain-shift issues. In this paper, a…

Cited by 74PDFScholar