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Jun-Hyuk Kim
Jun-Hyuk Kim
Samsung Advanced Institute of Technology
Verified email at samsung.com - Homepage
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Cited by
Cited by
Year
NTIRE 2018 challenge on single image super-resolution: Methods and results
R Timofte, S Gu, J Wu, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2018
3382018
MAMNet: Multi-path adaptive modulation network for image super-resolution
JH Kim, JH Choi, M Cheon, JS Lee
Neurocomputing 402, 38-49, 2020
136*2020
AIM 2020 challenge on efficient super-resolution: Methods and results
K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ...
European Conference on Computer Vision (ECCV) Workshops, 5-40, 2020
992020
Evaluating robustness of deep image super-resolution against adversarial attacks
JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee
IEEE International Conference on Computer Vision (ICCV), 303-311, 2019
752019
Deep residual network with enhanced upscaling module for super-resolution
JH Kim, JS Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2018
542018
Joint global and local hierarchical priors for learned image compression
JH Kim, B Heo, JS Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5992-6001, 2022
482022
Generative adversarial network-based image super-resolution using perceptual content losses
M Cheon, JH Kim, JH Choi, JS Lee
European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
462018
AIM 2020 challenge on real image super-resolution: Methods and results
P Wei, H Lu, R Timofte, L Lin, W Zuo, Z Pan, B Li, T Xi, Y Fan, G Zhang, ...
European Conference on Computer Vision (ECCV) Workshops, 392-422, 2020
432020
Deep learning-based image super-resolution considering quantitative and perceptual quality
JH Choi, JH Kim, M Cheon, JS Lee
Neurocomputing 398, 347-359, 2020
402020
Efficient deep learning-based lossy image compression via asymmetric autoencoder and pruning
JH Kim, JH Choi, J Chang, JS Lee
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
182020
Lightweight and efficient image super-resolution with block state-based recursive network
JH Choi, JH Kim, M Cheon, JS Lee
arXiv preprint arXiv:1811.12546, 2018
172018
Just one moment: Structural vulnerability of deep action recognition against one frame attack
J Hwang, JH Kim, JH Choi, JS Lee
IEEE International Conference on Computer Vision (ICCV), 7668-7676, 2021
162021
Deep image destruction: Vulnerability of deep image-to-image models against adversarial attacks
JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee
arXiv preprint arXiv:2104.15022, 2021
122021
Prediction of car design perception using EEG and gaze patterns
SE Moon, JH Kim, SW Kim, JS Lee
IEEE Transactions on Affective Computing 12 (4), 843-856, 2019
102019
Instability of successive deep image compression
JH Kim, S Jang, JH Choi, JS Lee
ACM International Conference on Multimedia (MM), 247-255, 2020
92020
Adversarially robust deep image super-resolution using entropy regularization
JH Choi, H Zhang, JH Kim, CJ Hsieh, JS Lee
Asian Conference on Computer Vision (ACCV), 2020
82020
Assessing product design using photos and real products
SE Moon, JH Kim, SW Kim, JS Lee
ACM Conference on Human Factors in Computing Systems (CHI), Extended …, 2017
82017
Travel photo album summarization based on aesthetic quality, interestingness, and memorableness
JH Kim, JS Lee
APSIPA Annual Summit and Conference (ASC), 1-5, 2016
72016
Successive learned image compression: Comprehensive analysis of instability
JH Kim, S Jang, JH Choi, JS Lee
Neurocomputing 506, 12-24, 2022
62022
Volatile-nonvolatile memory network for progressive image super-resolution
JH Choi, JH Kim, M Cheon, JS Lee
IEEE Access 9, 37487-37496, 2021
42021
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