| Fully deep blind image quality predictor J Kim, S Lee IEEE Journal of selected topics in signal processing 11 (1), 206-220, 2016 | 439 | 2016 |
| Deep convolutional neural models for picture-quality prediction: Challenges and solutions to data-driven image quality assessment J Kim, H Zeng, D Ghadiyaram, S Lee, L Zhang, AC Bovik IEEE Signal processing magazine 34 (6), 130-141, 2017 | 281 | 2017 |
| Deep CNN-based blind image quality predictor J Kim, AD Nguyen, S Lee IEEE transactions on neural networks and learning systems 30 (1), 11-24, 2018 | 280 | 2018 |
| Deep learning of human visual sensitivity in image quality assessment framework J Kim, S Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 258 | 2017 |
| Deep video quality assessor: From spatio-temporal visual sensitivity to a convolutional neural aggregation network W Kim, J Kim, S Ahn, J Kim, S Lee Proceedings of the European conference on computer vision (ECCV), 219-234, 2018 | 129 | 2018 |
| Blind deep S3D image quality evaluation via local to global feature aggregation H Oh, S Ahn, J Kim, S Lee IEEE Transactions on Image Processing 26 (10), 4923-4936, 2017 | 80 | 2017 |
| Adnet: Leveraging error-bias towards normal direction in face alignment Y Huang, H Yang, C Li, J Kim, F Wei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 48 | 2021 |
| Mps-nerf: Generalizable 3d human rendering from multiview images X Gao, J Yang, J Kim, S Peng, Z Liu, X Tong IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 34 | 2022 |
| Multiple level feature-based universal blind image quality assessment model J Kim, AD Nguyen, S Ahn, C Luo, S Lee 2018 25th IEEE International Conference on Image Processing (ICIP), 291-295, 2018 | 32 | 2018 |
| Enhancement of visual comfort and sense of presence on stereoscopic 3D images H Oh, J Kim, J Kim, T Kim, S Lee, AC Bovik IEEE Transactions on Image Processing 26 (8), 3789-3801, 2017 | 32 | 2017 |
| Deep blind image quality assessment by employing FR-IQA J Kim, S Lee 2017 IEEE International Conference on Image Processing (ICIP), 3180-3184, 2017 | 23 | 2017 |
| Deep visual saliency on stereoscopic images AD Nguyen, J Kim, H Oh, H Kim, W Lin, S Lee IEEE Transactions on Image Processing 28 (4), 1939-1953, 2018 | 22 | 2018 |
| Implementation of human action recognition system using multiple Kinect sensors B Kwon, D Kim, J Kim, I Lee, J Kim, H Oh, H Kim, S Lee Advances in Multimedia Information Processing--PCM 2015: 16th Pacific-Rim …, 2015 | 20 | 2015 |
| Learning high-fidelity face texture completion without complete face texture J Kim, J Yang, X Tong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 19 | 2021 |
| Blind sharpness prediction for ultrahigh-definition video based on human visual resolution H Kim, J Kim, T Oh, S Lee IEEE Transactions on Circuits and Systems for Video Technology 27 (5), 951-964, 2016 | 16 | 2016 |
| Implementation of an omnidirectional human motion capture system using multiple kinect sensors J Kim, I Lee, J Kim, S Lee IEICE Transactions on Fundamentals of Electronics, Communications and …, 2015 | 15 | 2015 |
| Quality assessment of perceptual crosstalk on two-view auto-stereoscopic displays J Kim, T Kim, S Lee, AC Bovik IEEE Transactions on Image Processing 26 (10), 4885-4899, 2017 | 12 | 2017 |
| Single-image 3-d reconstruction: Rethinking point cloud deformation AD Nguyen, S Choi, W Kim, J Kim, H Oh, J Kang, S Lee IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
| Perceptual crosstalk prediction on autostereoscopic 3D display T Kim, J Kim, SY Kim, S Cho, S Lee IEEE Transactions on Circuits and Systems for Video Technology 27 (7), 1450-1463, 2016 | 10 | 2016 |
| Video frame interpolation by plug-and-play deep locally linear embedding AD Nguyen, W Kim, J Kim, S Lee arXiv preprint arXiv:1807.01462, 2018 | 6 | 2018 |
Sanghoon LeeProfessor, Yonsei Universityyonsei.ac.kr의 이메일 확인됨
