| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 284 | 2018 |
| Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 274 | 2019 |
| Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training D Park, DU Kang, J Kim, SY Chun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 110 | 2020 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 101 | 2019 |
| 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 | 80 | 2019 |
| Task-aware variational adversarial active learning K Kim, D Park, KI Kim, SY Chun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 75 | 2021 |
| Ntire 2019 challenge on image enhancement: Methods and results A Ignatov, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| A single multi-task deep neural network with post-processing for object detection with reasoning and robotic grasp detection D Park, Y Seo, D Shin, J Choi, SY Chun 2020 IEEE International Conference on Robotics and Automation (ICRA), 7300-7306, 2020 | 32 | 2020 |
| Ntire 2019 challenge on video deblurring: Methods and results S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Classification based grasp detection using spatial transformer network D Park, SY Chun arXiv preprint arXiv:1803.01356, 2018 | 32 | 2018 |
| Real-time, highly accurate robotic grasp detection using fully convolutional neural networks with high-resolution images D Park, Y Seo, SY Chun arXiv preprint arXiv:1809.05828, 2018 | 25 | 2018 |
| Efficient module based single image super resolution for multiple problems D Park, K Kim, S Young Chun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 24 | 2018 |
| Real-time, highly accurate robotic grasp detection using fully convolutional neural network with rotation ensemble module D Park, Y Seo, SY Chun 2020 IEEE International Conference on Robotics and Automation (ICRA), 9397-9403, 2020 | 22 | 2020 |
| Efficient and accurate quantized image super-resolution on mobile NPUs, mobile AI & AIM 2022 challenge: report A Ignatov, R Timofte, M Denna, A Younes, G Gankhuyag, J Huh, MK Kim, ... Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | 12 | 2023 |
| Down-scaling with learned kernels in multi-scale deep neural networks for non-uniform single image deblurring D Park, J Kim, SY Chun arXiv preprint arXiv:1903.10157, 2019 | 9 | 2019 |
| Efficient single-image depth estimation on mobile devices, mobile AI & AIM 2022 challenge: report A Ignatov, G Malivenko, R Timofte, L Treszczotko, X Chang, P Ksiazek, ... Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | 8 | 2023 |
| Blur more to deblur better: Multi-blur2deblur for efficient video deblurring D Park, DU Kang, SY Chun arXiv preprint arXiv:2012.12507, 2020 | 5 | 2020 |
| Rotation ensemble module for detecting rotation-invariant features D Park, Y Seo, SY Chun CoRR, 2018 | 4 | 2018 |
| Deep Learning approaches for Robotic Grasp Detection and Image Super-Resolution D Park Graduate School of UNIST, 2019 | 1 | 2019 |
| Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling D Park, M Kim, H Kim, J Lee, SY Chun 2023 International Conference on Electronics, Information, and Communication …, 2023 | | 2023 |
