Younghyun Jo

I am a Staff Engineer at SAIT (Samsung Advanced Institute of Technology). I obtained my Ph.D. degree in Computer Science at Yonsei University advised by Prof. Seon Joo Kim.

My research interests focus on Deep Learning and Computer Vision. Particularly, I am interested in deep learning based image/video restoration (super-resolution, deblurring, …), image signal processing, and image quality assessment.

For more information, please refer to my CV.

news

Sep 27, 2024	🎉 One paper accepted in ACCV 2024.
Jul 01, 2024	🎉 One paper accepted in ECCV 2024.
Mar 01, 2022	🧑‍💼 I joined SAIT as a staff engineer.

selected publications

CVPR

Practical Single-Image Super-Resolution Using Look-Up Table

Younghyun Jo, and Seon Joo Kim

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2021

Bib PDF Supp Code

@inproceedings{jo2021practical,
  author = {Jo, Younghyun and Kim, Seon Joo},
  title = {Practical Single-Image Super-Resolution Using Look-Up Table},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = jun,
  year = {2021},
  google_scholar_id = {eQOLeE2rZwMC}
}

CVPR

Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation

Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2018

Bib PDF Video Code

@inproceedings{jo2018deep,
  title = {Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation},
  author = {Jo, Younghyun and Oh, Seoung Wug and Kang, Jaeyeon and Kim, Seon Joo},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {3224--3232},
  year = {2018},
  month = jun,
  google_scholar_id = {u5HHmVD_uO8C}
}