249 citations
- Korea Institute for Advanced StudyKR14 papers
- Seoul National UniversityKR12 papers
- Sungkyunkwan UniversityKR9 papers
- Korea Advanced Institute of Science and TechnologyKR7 papers
- Hankuk University of Foreign StudiesKR5 papers
- Institute for Basic ScienceKR5 papers
- Korea Institute of Science & Technology InformationKR5 papers
- Yonsei UniversityKR5 papers
- Novo Nordisk (Denmark)DK4 papers
- Pohang University of Science and TechnologyKR4 papers
- Umeå UniversitySE4 papers
- Hanyang UniversityKR3 papers
Showing 2020 · cs.CVShow all
3 papers · 2 filters
cs.CV2020★ 8 cited
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Jaemin Na, Heechul Jung, Hyung Jin Chang +1
Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, most of the studies were based on direct adap…
cs.CV2020★ 2 cited
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
Sijin Kim, Namhyuk Ahn, Kyung-Ah Sohn
In recent years, deep learning-based methods have been successfully applied to the image distortion restoration tasks. However, scenarios that assume a single distortion only may n…
cs.CV2020
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
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. We assume that low resolution (LR) images are relati…