| Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring S Nah, TH Kim, KM Lee Computer Vision and Pattern Recognition (CVPR), 2017 | 2317 | 2017 |
| Segmentation-Free Dynamic Scene Deblurring TH Kim, KM Lee Computer Vision and Pattern Recognition (CVPR), 2014 | 229* | 2014 |
| Dynamic Scene Deblurring TH Kim, B Ahn, KM Lee International Conference on Computer Vision (ICCV), 2013 | 220* | 2013 |
| Generalized Video Deblurring for Dynamic Scenes TH Kim, KM Lee Computer Vision and Pattern Recognition (CVPR), 2015 | 195* | 2015 |
| Spatio-temporal Transformer Network for Video Restoration TH Kim, MSM Sajjadi, M Hirsch, B Schölkopf European Computer Vision Conference (ECCV), 2018 | 189 | 2018 |
| Online Video Deblurring via Dynamic Temporal Blending Network TH Kim, KM Lee, B Schölkopf, M Hirsch International Conference on Computer Vision (ICCV), 2017 | 182* | 2017 |
| Fast Adaptation to Super-Resolution Networks via Meta-Learning S Park*, J Yoo*, D Cho, J Kim, TH Kim European Computer Vision Conference (ECCV), 2020 | 90 | 2020 |
| Dynamic Video Deblurring Using a Locally Adaptive Blur Model TH Kim, S Nah, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 40 (10 …, 2018 | 79* | 2018 |
| Scene-Adaptive Video Frame Interpolation via Meta-Learning M Choi, J Choi, S Baik, TH Kim, KM Lee Computer Vision and Pattern Recognition (CVPR), 2020 | 58 | 2020 |
| Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution J Yoo, T Kim, S Lee, SH Kim, H Lee, TH Kim Winter Conference on Applications of Computer Vision (WACV), 4956-4965, 2023 | 56 | 2023 |
| Optical Flow via Locally Adaptive Fusion of Complementary Data Costs TH Kim, HS Lee, KM Lee International Conference on Computer Vision (ICCV), 2013 | 52 | 2013 |
| An Assistive Role of a Machine Learning Network in Diagnosis of Middle Ear Diseases H Byun, S Yu, J Oh, J Bae, MS Yoon, SH Lee, JH Chung, TH Kim Journal of Clinical Medicine 10 (15), 3198, 2021 | 33 | 2021 |
| External validation of deep learning algorithm for detecting and visualizing femoral neck fracture including displaced and non-displaced fracture on plain X-ray J Bae, S Yu, J Oh, TH Kim, JH Chung, H Byun, MS Yoon, C Ahn, DK Lee Journal of digital imaging 34 (5), 1099-1109, 2021 | 29 | 2021 |
| Deep recurrent network for fast and full-resolution light field deblurring JS Lumentut, TH Kim, R Ramamoorthi, IK Park IEEE Signal Processing Letters, 2019 | 21* | 2019 |
| Development of artificial neural networks for early prediction of intestinal perforation in preterm infants J Son, D Kim, JY Na, D Jung, JH Ahn, TH Kim, HK Park Scientific Reports 12 (1), 12112, 2022 | 18 | 2022 |
| Deep Motion Blind Video Stabilization MK Ali*, S Yu*, TH Kim The British Machine Vision Conference (BMVC), 2021 | 17* | 2021 |
| Restore from Restored: Video Restoration with Pseudo Clean Video S Lee, D Cho, J Kim, TH Kim Computer Vision and Pattern Recognition (CVPR), 2021 | 17 | 2021 |
| Test-Time Adaptation for Video Frame Interpolation via Meta-Learning M Choi, J Choi, S Baik, TH Kim, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 44 (12 …, 2022 | 11 | 2022 |
| Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet) DK Lee, JH Kim, J Oh, TH Kim, MS Yoon, DJ Im, JH Chung, H Byun Scientific Reports 12 (1), 21884, 2022 | 10 | 2022 |
| Self-Supervised Fast Adaptation for Denoising via Meta-Learning S Lee, D Cho, J Kim, TH Kim arXiv:2001.02899, 2020 | 10 | 2020 |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
