| Fast and automatic video object segmentation and tracking for content-based applications C Kim, JN Hwang IEEE transactions on circuits and systems for video technology 12 (2), 122-129, 2002 | 535 | 2002 |
| Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification S Choi, S Lee, Y Kim, T Kim, C Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 370 | 2020 |
| Diversify and match: A domain adaptive representation learning paradigm for object detection T Kim, M Jeong, S Kim, S Choi, C Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 364 | 2019 |
| Spatiotemporal sequence matching for efficient video copy detection C Kim, B Vasudev IEEE Transactions on Circuits and Systems for Video Technology 15 (1), 127-132, 2005 | 360 | 2005 |
| Self-ensembling with gan-based data augmentation for domain adaptation in semantic segmentation J Choi, T Kim, C Kim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 313 | 2019 |
| Segmenting clustered nuclei using H-minima transform-based marker extraction and contour parameterization C Jung, C Kim IEEE transactions on biomedical engineering 57 (10), 2600-2604, 2010 | 293 | 2010 |
| Content-based image copy detection C Kim Signal Processing: Image Communication 18 (3), 169-184, 2003 | 256 | 2003 |
| Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection S Kim, J Choi, T Kim, C Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 240 | 2019 |
| Unsupervised segmentation of overlapped nuclei using Bayesian classification C Jung, C Kim, SW Chae, S Oh IEEE Transactions on Biomedical Engineering 57 (12), 2825-2832, 2010 | 197 | 2010 |
| Reducing blocking and ringing artifacts in low-bit-rate coding C Kim US Patent 6,983,079, 2006 | 193 | 2006 |
| A new approach for overlay text detection and extraction from complex video scene W Kim, C Kim IEEE transactions on image processing 18 (2), 401-411, 2008 | 186 | 2008 |
| Attract, perturb, and explore: Learning a feature alignment network for semi-supervised domain adaptation T Kim, C Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 166 | 2020 |
| Meta batch-instance normalization for generalizable person re-identification S Choi, T Kim, M Jeong, H Park, C Kim Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021 | 165 | 2021 |
| Object-based video abstraction for video surveillance systems C Kim, JN Hwang IEEE Transactions on Circuits and Systems for Video Technology 12 (12), 1128 …, 2002 | 152 | 2002 |
| Method and apparatus for content-based image copy detection C Kim US Patent 7,167,574, 2007 | 150 | 2007 |
| An integrated scheme for object-based video abstraction C Kim, JN Hwang Proceedings of the eighth ACM international conference on Multimedia, 303-311, 2000 | 150 | 2000 |
| Background subtraction for dynamic texture scenes using fuzzy color histograms W Kim, C Kim IEEE Signal processing letters 19 (3), 127-130, 2012 | 131 | 2012 |
| A unified spectral-domain approach for saliency detection and its application to automatic object segmentation C Jung, C Kim IEEE Transactions on Image Processing 21 (3), 1272-1283, 2011 | 123 | 2011 |
| Spatiotemporal saliency detection and its applications in static and dynamic scenes W Kim, C Jung, C Kim IEEE Transactions on Circuits and Systems for Video Technology 21 (4), 446-456, 2011 | 123 | 2011 |
| Pseudo-labeling curriculum for unsupervised domain adaptation J Choi, M Jeong, T Kim, C Kim arXiv preprint arXiv:1908.00262, 2019 | 121 | 2019 |
Wonjun KimAssociate Professor, Konkuk UniversityVerified email at konkuk.ac.kr
