Search Results for author: Namhyuk Ahn

Found 8 papers, 6 papers with code

What is Wrong with One-Class Anomaly Detection?

1 code implementation20 Apr 2021 JuneKyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn

From a safety perspective, a machine learning method embedded in real-world applications is required to distinguish irregular situations.

Anomaly Detection

Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network

1 code implementation30 Sep 2020 Sijin Kim, Namhyuk Ahn, Kyung-Ah Sohn

Viewing in a different point of combining, we introduce a spatially-heterogeneous distortion dataset in which multiple corruptions are applied to the different locations of each image.

Multi-Task Learning

SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution

no code implementations23 Apr 2020 Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn

In this paper, we tackle a fully unsupervised super-resolution problem, i. e., neither paired images nor ground truth HR images.

Denoising Image Super-Resolution +1

Efficient Deep Neural Network for Photo-realistic Image Super-Resolution

1 code implementation6 Mar 2019 Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn

Recent progress in deep learning-based models has improved photo-realistic (or perceptual) single-image super-resolution significantly.

Image Super-Resolution

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