| 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 | 2435 | 2020 |
| 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 | 2347 | 2017 |
| 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 | 589 | 2020 |
| 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 | 474 | 2019 |
| 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 | 418 | 2018 |
| 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 | 391 | 2018 |
| 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 | 384 | 2018 |
| 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 | 271 | 2017 |
| Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis YS Han, J Yoo, JC Ye arXiv preprint arXiv:1611.06391, 2016 | 262 | 2016 |
| 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 | 231 | 2020 |
| 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 | 231 | 2020 |
| 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 | 230* | 2019 |
| 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 | 163 | 2019 |
| 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 | 143 | 2021 |
| Deep artifact learning for compressed sensing and parallel MRI D Lee, J Yoo, JC Ye arXiv preprint arXiv:1703.01120, 2017 | 72 | 2017 |
| 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 | 61 | 2016 |
| Multi-CryoGAN: Reconstruction of continuous conformations in Cryo-EM using generative adversarial networks H Gupta, TH Phan, J Yoo, M Unser European Conference on Computer Vision, 429-444, 2020 | 49 | 2020 |
| Posterllama: Bridging design ability of language model to content-aware layout generation J Seol, S Kim, J Yoo European Conference on Computer Vision, 451-468, 2024 | 43 | 2024 |
| 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 | 35 | 2018 |
| Simusr: A simple but strong baseline for unsupervised image super-resolution N Ahn, J Yoo, KA Sohn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 22 | 2020 |
Jong Chul YeProfessor, Chung Moon Soul Chair, Graduate School of AI, KAISTVerified email at kaist.ac.kr
