Jaejun Yoo - Concepedia

Author

Jaejun Yoo

Korea Advanced Institute of Science and Technology ORCID

Also Known As

Jae Jun Yoo, Jae-Jun Yoo, JaeJun Yoo, Jaejoon Yoo, Jaejun Yoo, Würfl, Tobias, Yoo, Jaejoon, Yoo, Jaejun, Yun, Sangdoo

121

Publications

5.3K

Citations

H-Index

Concepts

All Affiliations

Korea Advanced Institute of Science and Technology Ulsan National Institute of Science and Technology École Polytechnique Fédérale de Lausanne Naver (South Korea)Ajou University

About

Jaejun Yoo is an author at Korea Advanced Institute of Science and Technology specializing in engineering, deep learning, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	16	4.9K
2	Health Sciences	6	6	804
3	Computer Science	6	6	2K
4	Medicine	1	1	39
5	Social Sciences	1	1	39

Jaejun Yoo

Publications

5.1K

Citations

H-Index

Page 1

	Year	Citations
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi, Youngjung Uh, Jaejun Yoo, EngineeringMachine LearningBiometricsVisual QualityImage Analysis	2020	1.6K
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Rich DetailsSuper-resolution ImagingMachine VisionImage AnalysisMedical Imaging	2017	1.5K
Photorealistic Style Transfer via Wavelet Transforms Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Video RestorationImage AnalysisMachine LearningEngineeringExpressive Rendering	2019	374
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network Eun‐Hee Kang, Won Chang, Jaejun Yoo, IEEE Transactions on Medical Imaging Computed TomographyImage ReconstructionEngineeringMachine LearningWavelet Residual Network	2018	345
Deep residual learning for compressed sensing MRI Dongwook Lee, Jaejun Yoo, Jong Chul Ye EngineeringMachine LearningMr ImagesImage AnalysisSparse Neural Network	2017	214
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Woong Bae, Jaejun Yoo, Jong Chul Ye Convolutional Neural NetworkEngineeringMachine LearningLearning AlgorithmManifold Modeling	2017	212
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis Yoseob Han, Jaejun Yoo, Jong Chul Ye arXiv (Cornell University) Computed TomographyImage ReconstructionEngineeringMachine LearningSparse Projection Views	2016	173
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr, Martin Danelljan, Radu Timofte, High ResolutionEngineeringNtire 2020Super-resolution ImagingImage Analysis	2020	162
Rethinking the Truly Unsupervised Image-to-Image Translation Kyungjune Baek, Yunjey Choi, Youngjung Uh, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Structured PredictionEngineeringMachine LearningImage-to-image TranslationNatural Language Processing	2021	113
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi, Youngjung Uh, Jaejun Yoo, arXiv (Cornell University) EngineeringMachine LearningBiometricsVisual QualityImage Analysis	2019	96

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