Jaejun Yoo
Jaejun Yoo
Assistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNIST
Verified email at unist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8242017
Stargan v2: Diverse image synthesis for multiple domains
Y Choi, Y Uh, J Yoo, JW Ha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3112020
Deep learning with domain adaptation for accelerated projection‐reconstruction MR
Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye
Magnetic resonance in medicine 80 (3), 1189-1205, 2018
2142018
Deep convolutional framelet denosing for low-dose CT via wavelet residual network
E Kang, W Chang, J Yoo, JC Ye
IEEE transactions on medical imaging 37 (6), 1358-1369, 2018
1862018
Deep residual learning for compressed sensing MRI
D Lee, J Yoo, JC Ye
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 15-18, 2017
1752017
Deep residual learning for accelerated MRI using magnitude and phase networks
D Lee, J Yoo, S Tak, JC Ye
IEEE Transactions on Biomedical Engineering 65 (9), 1985-1995, 2018
1582018
Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis
YS Han, J Yoo, JC Ye
arXiv preprint arXiv:1611.06391, 2016
1572016
Beyond deep residual learning for image restoration: Persistent homology-guided manifold simplification
W Bae, J Yoo, J Chul Ye
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1122017
Photorealistic style transfer via wavelet transforms
J Yoo, Y Uh, S Chun, B Kang, JW Ha
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1092019
Ntire 2020 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
632020
Deep artifact learning for compressed sensing and parallel MRI
D Lee, J Yoo, JC Ye
arXiv preprint arXiv:1703.01120, 2017
422017
Deep learning diffuse optical tomography
J Yoo, S Sabir, D Heo, KH Kim, A Wahab, Y Choi, SI Lee, EY Chae, ...
IEEE transactions on medical imaging 39 (4), 877-887, 2019
402019
Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages
J Yoo, EY Kim, YM Ahn, JC Ye
Journal of neuroscience methods 267, 1-13, 2016
332016
Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy
J Yoo, N Ahn, KA Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
322020
Reliable fidelity and diversity metrics for generative models
MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo
International Conference on Machine Learning, 7176-7185, 2020
282020
Time-dependent deep image prior for dynamic MRI
J Yoo, KH Jin, H Gupta, J Yerly, M Stuber, M Unser
arXiv preprint arXiv:1910.01684, 2019
23*2019
Multi-domain processing via hybrid denoising networks for speech enhancement
JH Kim, J Yoo, S Chun, A Kim, JW Ha
arXiv preprint arXiv:1812.08914, 2018
162018
Wavelet residual network for low-dose CT via deep convolutional framelets
E Kang, J Yoo, JC Ye
arXiv preprint arXiv:1707.09938 27, 679-694, 2017
162017
Rethinking the truly unsupervised image-to-image translation
K Baek, Y Choi, Y Uh, J Yoo, H Shim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
122021
Compressed sensing and parallel MRI using deep residual learning
D Lee, J Yoo, JC Ye
International Society for Magnetic Resonance in Medicine, 2017
102017
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