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Younghyun Jo
Younghyun Jo
Ph.D. student
Verified email at yonsei.ac.kr - Homepage
Title
Cited by
Cited by
Year
Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation
Y Jo, SW Oh, J Kang, SJ Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5832018
Investigating loss functions for extreme super-resolution
Y Jo, S Yang, SJ Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
572020
Practical single-image super-resolution using look-up table
Y Jo, SJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
542021
Tackling the ill-posedness of super-resolution through adaptive target generation
Y Jo, SW Oh, P Vajda, SJ Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
392021
Srflow-da: Super-resolution using normalizing flow with deep convolutional block
Y Jo, S Yang, SJ Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
292021
Deep space-time video upsampling networks
J Kang, Y Jo, SW Oh, P Vajda, SJ Kim
European conference on computer vision, 701-717, 2020
182020
Learning the loss functions in a discriminative space for video restoration
Y Jo, J Kang, SW Oh, S Nam, P Vajda, SJ Kim
arXiv preprint arXiv:2003.09124, 2020
12020
Supplementary: Practical Single-Image Super-Resolution Using Look-Up Table
Y Jo, SJ Kim
Supplementary: Tackling the Ill-Posedness of Super-Resolution through Adaptive Target Generation
Y Jo, SW Oh, P Vajda, SJ Kim
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Articles 1–9