| Primary object segmentation in videos based on region augmentation and reduction YJ Koh, CS Kim 2017 IEEE conference on computer vision and pattern recognition (CVPR), 7417 …, 2017 | 200 | 2017 |
| Representative color transform for image enhancement H Kim, SM Choi, CS Kim, YJ Koh Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 69 | 2021 |
| Dark image enhancement based onpairwise target contrast and multi-scale detail boosting Y Kim, YJ Koh, C Lee, S Kim, CS Kim 2015 IEEE international conference on image processing (ICIP), 1404-1408, 2015 | 67 | 2015 |
| Global and local enhancement networks for paired and unpaired image enhancement HU Kim, YJ Koh, CS Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 57 | 2020 |
| Light field super-resolution via adaptive feature remixing K Ko, YJ Koh, S Chang, CS Kim IEEE Transactions on Image Processing 30, 4114-4128, 2021 | 50 | 2021 |
| PieNet: Personalized image enhancement network HU Kim, YJ Koh, CS Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 48 | 2020 |
| Video stabilization based on feature trajectory augmentation and selection and robust mesh grid warping YJ Koh, C Lee, CS Kim IEEE Transactions on Image Processing 24 (12), 5260-5273, 2015 | 42 | 2015 |
| POD: Discovering primary objects in videos based on evolutionary refinement of object recurrence, background, and primary object models YJ Koh, WD Jang, CS Kim Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 30 | 2016 |
| Efficient fine-granular scalable coding of 3D mesh sequences JK Ahn, YJ Koh, CS Kim IEEE Transactions on Multimedia 15 (3), 485-497, 2012 | 30 | 2012 |
| Guided interactive video object segmentation using reliability-based attention maps Y Heo, YJ Koh, CS Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Interactive video object segmentation using global and local transfer modules Y Heo, Y Jun Koh, CS Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 27 | 2020 |
| Sequential clique optimization for video object segmentation YJ Koh, YY Lee, CS Kim European Conference on Computer Vision, 537-556, 2018 | 23 | 2018 |
| CDTS: Collaborative detection, tracking, and segmentation for online multiple object segmentation in videos YJ Koh, CS Kim 2017 IEEE International Conference on Computer Vision (ICCV), 3621-3629, 2017 | 18 | 2017 |
| Identification of target chicken populations by machine learning models using the minimum number of SNPs D Seo, S Cho, P Manjula, N Choi, YK Kim, YJ Koh, SH Lee, HY Kim, ... Animals 11 (1), 241, 2021 | 15 | 2021 |
| Instance-level future motion estimation in a single image based on ordinal regression KR Kim, W Choi, YJ Koh, SG Jeong, CS Kim Proceedings of the IEEE/CVF International Conference on Computer Vision, 273-282, 2019 | 15 | 2019 |
| Blind and compact denoising network based on noise order learning K Ko, YJ Koh, CS Kim IEEE Transactions on Image Processing 31, 1657-1670, 2022 | 14 | 2022 |
| Multiscale feature extractors for stereo matching cost computation KR Kim, YJ Koh, CS Kim IEEE Access 6, 27971-27983, 2018 | 12 | 2018 |
| Interactive video object segmentation using sparse-to-dense networks Y Heo, YJ Koh, CS Kim CVPR Workshops 2 (3), 6, 2019 | 11 | 2019 |
| Online multiple object tracking based on open-set few-shot learning HU Kim, YJ Koh, CS Kim IEEE access 8, 190312-190326, 2020 | 10 | 2020 |
| MSENet: Marbling score estimation network for automated assessment of Korean beef HJ Lee, YJ Koh, YK Kim, SH Lee, JH Lee, DW Seo Meat Science 188, 108784, 2022 | 9 | 2022 |
Chang-Su KimProfessor of Korea University, FIEEEVerified email at korea.ac.kr
