Younghyun Jo

According to our database, Younghyun Jo authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment.

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

CoRR, 2024

A Preliminary Study of the Mobile Robot-Based Cooperative System for Outdoor Hazardous Testing Spaces.

Boseong Kim, Yoonkeon Kim, Eungsoo Kim, Jaeun Kang, Kihoon Kim, Younghyun Jo

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

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

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

ATTIQA: Generalizable Image Quality Feature Extractor Using Attribute-Aware Pretraining.

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

Proceedings of the Computer Vision - ACCV 2024, 2022

2021

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

Younghyun Jo, Sejong Yang, Seon Joo Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

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

Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Younghyun Jo, Seon Joo Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning the Loss Functions in a Discriminative Space for Video Restoration.

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

CoRR, 2020

Deep Space-Time Video Upsampling Networks.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results.

Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Investigating Loss Functions for Extreme Super-Resolution.

Younghyun Jo, Sejong Yang, Seon Joo Kim

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018