Jae-Seok Choi

According to our database, Jae-Seok Choi authored at least 18 papers between 2015 and 2020.

Collaborative distances:

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

2020

S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks.

Jae-Seok Choi, Yongwoo Kim, Munchurl Kim

IEEE Geosci. Remote. Sens. Lett., 2020

UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images.

Soomin Seo, Jae-Seok Choi, Jaehyup Lee, Hyun-Ho Kim, Doochun Seo, Jaeheon Jeong, Munchurl Kim

IEEE Access, 2020

A CNN-Based Multi-scale Super-Resolution Architecture on FPGA for 4K/8K UHD Applications.

Yongwoo Kim, Jae-Seok Choi, Jaehyup Lee, Munchurl Kim

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

2019

A Real-Time Convolutional Neural Network for Super-Resolution on FPGA With Applications to 4K UHD 60 fps Video Services.

Yongwoo Kim, Jae-Seok Choi, Munchurl Kim

IEEE Trans. Circuits Syst. Video Technol., 2019

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results.

Andrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

2X Super-Resolution Hardware Using Edge-Orientation-Based Linear Mapping for Real-Time 4K UHD 60 fps Video Applications.

Yongwoo Kim, Jae-Seok Choi, Munchurl Kim

IEEE Trans. Circuits Syst. II Express Briefs, 2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.

Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes.

Hyeonjun Sim, Sehwan Ki, Jae-Seok Choi, Soomin Seo, Saehun Kim, Munchurl Kim

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

Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing.

Sehwan Ki, Hyeonjun Sim, Jae-Seok Choi, Saehun Kim, Munchurl Kim

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

Single Image Super-Resolution Using Lightweight CNN with Maxout Units.

Jae-Seok Choi, Munchurl Kim

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings.

Jae-Seok Choi, Munchurl Kim

IEEE Trans. Image Process., 2017

Can Maxout Units Downsize Restoration Networks? - Single Image Super-Resolution Using Lightweight CNN with Maxout Units.

Jae-Seok Choi, Munchurl Kim

CoRR, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

A Deep Convolutional Neural Network with Selection Units for Super-Resolution.

Jae-Seok Choi, Munchurl Kim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Single Image Super-Interpolation using Adjusted Self-Exemplars.

Hyun-Ho Kim, Jae-Seok Choi, Munchurl Kim

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Super-Interpolation With Edge-Orientation-Based Mapping Kernels for Low Complex 2× Upscaling.

Jae-Seok Choi, Munchurl Kim

IEEE Trans. Image Process., 2016

2015

Single image super-resolution based on self-examples using context-dependent subpatches.

Jae-Seok Choi, Sung-Ho Bae, Munchurl Kim

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation.

Jae-Seok Choi, Sung-Ho Bae, Munchurl Kim

Proceedings of the Computational Imaging XIII, 2015