| Training deep learning based denoisers without ground truth data S Soltanayev, SY Chun Advances in Neural Information Processing Systems, 3257-3267, 2018 | 135 | 2018 |
| Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 95 | 2019 |
| Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior M Zhussip, S Soltanayev, SY Chun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 56 | 2019 |
| Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images M Zhussip, S Soltanayev, SY Chun Advances in Neural Information Processing Systems, 1465-1475, 2019 | 45 | 2019 |
| NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth K Kim, S Soltanayev, SY Chun IEEE Journal of Selected Topics in Signal Processing 14 (6), 1112-1125, 2020 | 30 | 2020 |
| On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein’s Unbiased Risk Estimator S Soltanayev, R Giryes, SY Chun, YC Eldar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images M Zhussip, S Soltanayev, SY Chun arXiv preprint arXiv:1902.02452, 2019 | 3 | 2019 |
| Advances in Neural Information Processing Systems S Soltanayev, SY Chun, S Bengio, H Wallach, H Larochelle, K Grauman, ... | 3 | 2018 |
| Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements M Zhussip, SY Chun arXiv preprint arXiv:1806.00961, 2018 | 3 | 2018 |
| Unsupervised learning of denoisers with compressive sensing measurements M Zhussip, S Soltanayev, SY Chun IEEE/CVF, 2019 | | 2019 |
| Supplementary material: Training deep learning based denoisers without ground truth data S Soltanayev, SY Chun | | |
Se Young ChunSeoul National UniversityVerified email at snu.ac.kr
