In-Jae Yu
Cited by
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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
Puzzle-cam: Improved localization via matching partial and full features
S Jo, IJ Yu
2021 IEEE international conference on image processing (ICIP), 639-643, 2021
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
Identifying photorealistic computer graphics using convolutional neural networks
IJ Yu, DG Kim, JS Park, JU Hou, S Choi, HK Lee
2017 IEEE International Conference on Image Processing (ICIP), 4093-4097, 2017
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
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
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
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
Paired mini-batch training: A new deep network training for image forensics and steganalysis
JS Park, HG Kim, DG Kim, IJ Yu, HK Lee
Signal Processing: Image Communication 67, 132-139, 2018
BitMix: data augmentation for image steganalysis
IJ Yu, W Ahn, SH Nam, HK Lee
Electronics Letters 56 (24), 1311-1314, 2020
Improved 3D mesh steganalysis using homogeneous kernel map
D Kim, HU Jang, HY Choi, J Son, IJ Yu, HK Lee
Information Science and Applications 2017: ICISA 2017 8, 358-365, 2017
Recurseed and edgepredictmix: Single-stage learning is sufficient for weakly-supervised semantic segmentation
S Jo, IJ Yu, K Kim
arXiv preprint arXiv:2204.06754, 2022
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
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
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks
Y Lim, I Yu, D Seo, U Kang, L Sael
BMC bioinformatics 20, 1-12, 2019
Mars: model-agnostic biased object removal without additional supervision for weakly-supervised semantic segmentation
S Jo, IJ Yu, K Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision, 614-623, 2023
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
WAN: Watermarking Attack Network
SH Nam, IJ Yu, SM Mun, D Kim, W Ahn
British Machine Vision Conference 2021, 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,, 2021
DHNet: double MPEG-4 compression detection via multiple DCT histograms
SH Nam, W Ahn, MJ Kwon, J Kang, IJ Yu
IEEE MultiMedia 29 (2), 11-22, 2022
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