publications

2024

1. ACCV

   CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment

   Daekyu Kwon , Dongyoung Kim, Sehwan Ki, Younghyun Jo, Hyong-Euk Lee, and Seon Joo Kim

   In Proceedings of the Asian Conference on Computer Vision (ACCV) , Dec 2024

   arXiv Bib

   @inproceedings{kwon2024clipguided,
     author = {Kwon, Daekyu and Kim, Dongyoung and Ki, Sehwan and Jo, Younghyun and Lee, Hyong-Euk and Kim, Seon Joo},
     title = {CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment},
     booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
     year = {2024},
     month = dec,
   }

2. ECCV

   Accelerating Large Image Super-Resolution Networks with Pixel-Level Classification

   Jinho Jeong , Jinwoo Kim, Younghyun Jo, and Seon Joo Kim

   In Proceedings of the European Conference on Computer Vision (ECCV) , Sep 2024

   Bib PDF Supp Code

   @inproceedings{jeong2024accelerating,
     author = {Jeong, Jinho and Kim, Jinwoo and Jo, Younghyun and Kim, Seon Joo},
     title = {Accelerating Large Image Super-Resolution Networks with Pixel-Level Classification},
     booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
     month = sep,
     year = {2024},
   }

2023

1. Patent

   Apparatus for Training Super-Resolution Network and Method of the Same

   Seon Joo Kim, and Younghyun Jo

   Republic of Korea Patent 102534657 , May 2023

   Bib URL

   @patent{jo2023apparatus2,
     author = {Kim, Seon Joo and Jo, Younghyun},
     title = {Apparatus for Training Super-Resolution Network and Method of the Same},
     date = {2023-05-18},
     year = {2023},
     month = may,
     number = {102534657},
     nationality = {Republic of Korea},
   }

2. Patent

   Apparatus for Super-Resolution Image Processing Using Look-Up Table and Method of the Same

   Seon Joo Kim, and Younghyun Jo

   Republic of Korea Patent 102498617 , Feb 2023

   Bib URL

   @patent{jo2023apparatus1,
     author = {Kim, Seon Joo and Jo, Younghyun},
     title = {Apparatus for Super-Resolution Image Processing Using Look-Up Table and Method of the Same},
     date = {2023-02-07},
     year = {2023},
     month = feb,
     number = {102498617},
     nationality = {Republic of Korea},
   }

2021

1. 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}
   }

2. CVPR

   Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation

   Younghyun Jo, Seoung Wug Oh, Peter Vajda, 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{jo2021tackling,
     author = {Jo, Younghyun and Oh, Seoung Wug and Vajda, Peter and Kim, Seon Joo},
     title = {Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2021},
     google_scholar_id = {Tyk-4Ss8FVUC}
   }

3. CVPR Workshops

   SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block

   Younghyun Jo, Sejong Yang, and Seon Joo Kim

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

   Bib PDF Code

   

   @inproceedings{jo2021srflowda,
     author = {Jo, Younghyun and Yang, Sejong and Kim, Seon Joo},
     title = {SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
     month = jun,
     year = {2021},
     google_scholar_id = {Y0pCki6q_DkC}
   }

2020

1. ECCV

   Deep Space-Time Video Upsampling Networks

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

   In Proceedings of the European Conference on Computer Vision (ECCV) , Sep 2020

   Bib PDF Supp Video Code

   

   @inproceedings{kang2020deep,
     author = {Kang, Jaeyeon and Jo, Younghyun and Oh, Seoung Wug and Vajda, Peter and Kim, Seon Joo},
     title = {Deep Space-Time Video Upsampling Networks},
     booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
     month = sep,
     year = {2020},
     google_scholar_id = {2osOgNQ5qMEC}
   }

2. CVPR Workshops

   Investigating loss functions for extreme super-resolution

   Younghyun Jo, Sejong Yang, and Seon Joo Kim

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2020

   Bib PDF Code

   

   @inproceedings{jo2020investigating,
     title = {Investigating loss functions for extreme super-resolution},
     author = {Jo, Younghyun and Yang, Sejong and Kim, Seon Joo},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
     pages = {424--425},
     year = {2020},
     month = jun,
     google_scholar_id = {UeHWp8X0CEIC}
   }

3. arXiv

   Learning the Loss Functions in a Discriminative Space for Video Restoration

   Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, and Seon Joo Kim

   arXiv preprint arXiv:2003.09124, Mar 2020

   arXiv Bib

   

   @article{jo2020learning,
     author = {Jo, Younghyun and Kang, Jaeyeon and Oh, Seoung Wug and Nam, Seonghyeon and Vajda, Peter and Kim, Seon Joo},
     title = {Learning the Loss Functions in a Discriminative Space for Video Restoration},
     journal = {arXiv preprint arXiv:2003.09124},
     year = {2020},
     month = mar,
     google_scholar_id = {qjMakFHDy7sC}
   }

2018

1. 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}
   }