| Finding robust domain from attacks: A learning framework for blind watermarking SM Mun, SH Nam, H Jang, D Kim, HK Lee Neurocomputing 337, 191-202, 2019 | 118 | 2019 |
| CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing MJ Kwon, IJ Yu, SH Nam, HK Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 98 | 2021 |
| A robust blind watermarking using convolutional neural network SM Mun, SH Nam, HU Jang, D Kim, HK Lee arXiv preprint arXiv:1704.03248, 2017 | 95 | 2017 |
| Learning jpeg compression artifacts for image manipulation detection and localization MJ Kwon, SH Nam, IJ Yu, HK Lee, C Kim International Journal of Computer Vision 130 (8), 1875-1895, 2022 | 50 | 2022 |
| A SIFT features based blind watermarking for DIBR 3D images SH Nam, WH Kim, SM Mun, JU Hou, S Choi, HK Lee Multimedia Tools and Applications 77, 7811-7850, 2018 | 35 | 2018 |
| Two-stream network for detecting double compression of H. 264 videos SH Nam, J Park, D Kim, IJ Yu, TY Kim, HK Lee 2019 IEEE International Conference on Image Processing (ICIP), 111-115, 2019 | 23 | 2019 |
| Deep convolutional neural network for identifying seam-carving forgery SH Nam, W Ahn, IJ Yu, MJ Kwon, M Son, HK Lee IEEE Transactions on Circuits and Systems for Video Technology 31 (8), 3308-3326, 2020 | 22 | 2020 |
| Manipulation classification for jpeg images using multi-domain features IJ Yu, SH Nam, W Ahn, MJ Kwon, HK Lee IEEE Access 8, 210837-210854, 2020 | 20 | 2020 |
| Content-aware image resizing detection using deep neural network SH Nam, W Ahn, SM Mun, J Park, D Kim, IJ Yu, HK Lee 2019 IEEE International Conference on Image Processing (ICIP), 106-110, 2019 | 19 | 2019 |
| BitMix: data augmentation for image steganalysis IJ Yu, W Ahn, SH Nam, HK Lee Electronics Letters 56 (24), 1311-1314, 2020 | 14 | 2020 |
| End‐to‐end double JPEG detection with a 3D convolutional network in the DCT domain W Ahn, SH Nam, M Son, HK Lee, S Choi Electronics Letters 56 (2), 82-85, 2020 | 14 | 2020 |
| NSCT-based robust and perceptual watermarking for DIBR 3D images SH Nam, SM Mun, W Ahn, D Kim, IJ Yu, WH Kim, HK Lee IEEE Access 8, 93760-93781, 2020 | 12 | 2020 |
| Blind curvelet watermarking method for high‐quality images WH Kim, SH Nam, HK Lee Electronics Letters 53 (19), 1302-1304, 2017 | 12 | 2017 |
| Local-source enhanced residual network for steganalysis of digital images W Ahn, H Jang, SH Nam, IJ Yu, HK Lee IEEE Access 8, 137789-137798, 2020 | 11 | 2020 |
| Dreamstyler: Paint by style inversion with text-to-image diffusion models N Ahn, J Lee, C Lee, K Kim, D Kim, SH Nam, K Hong Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 674-681, 2024 | 7 | 2024 |
| Robust watermarking in curvelet domain for preserving cleanness of high-quality images WH Kim, SH Nam, JH Kang, HK Lee Multimedia Tools and Applications 78, 16887-16906, 2019 | 7 | 2019 |
| Robust video watermarking for MPEG compression and DA-AD conversion JU Hou, JS Park, DG Kim, SH Nam, HK Lee Proceedings of the 1st International Workshop on Information Hiding and its …, 2014 | 7 | 2014 |
| Frame-rate up-conversion detection based on convolutional neural network for learning spatiotemporal features M Yoon, SH Nam, IJ Yu, W Ahn, MJ Kwon, HK Lee Forensic Science International 340, 111442, 2022 | 6 | 2022 |
| WAN: Watermarking Attack Network SH Nam, IJ Yu, SM Mun, D Kim, W Ahn British Machine Vision Conference (BMVC), 2021 | 6 | 2021 |
| Dual-path convolutional neural network for classifying fine-grained manipulations in H. 264 videos W Bae, SH Nam, IJ Yu, MJ Kwon, M Yoon, HK Lee Multimedia Tools and Applications, 1-28, 2021 | 5 | 2021 |
Lee, Heung-KyuProfessor of Department of Computer Science, KAIST, South KoreaVerified email at mmc.kaist.ac.kr
