Identifying photorealistic computer graphics using convolutional neural networks. - In-Jae Yu; Do-Guk Kim; Jin-Seok Park; Jong-Uk Hou; Sunghee Choi; Heung-Kyu Lee (ICIP, 2017)

Improved 3D Mesh Steganalysis Using Homogeneous Kernel Map. - Dongkyu Kim; Han-Ul Jang; Hak-Yeol Choi; Jeongho Son; In-Jae Yu; Heung-Kyu Lee (ICISA, 2017)

Robust 3D Mesh Watermarking Scheme for an Anti-Collusion Fingerprint Code. - Jong-Uk Hou; In-Jae Yu; Hyun-Ji Song; Heung-Kyu Lee (WISA, 2017)

Paired mini-batch training: A new deep network training for image forensics and steganalysis. - Jin-Seok Park; Hyeon-Gi Kim; Do-Guk Kim; In-Jae Yu; Heung-Kyu Lee (Signal Process. Image Commun., 2018)

Content-Aware Image Resizing Detection Using Deep Neural Network. - Seung-Hun Nam; Wonhyuk Ahn; Seung-Min Mun; Jin-Seok Park; Dongkyu Kim; In-Jae Yu; Heung-Kyu Lee (ICIP, 2019)

Two-Stream Network for Detecting Double Compression of H.264 Videos. - Seung-Hun Nam; Jin-Seok Park; Dongkyu Kim; In-Jae Yu; Tae-Yeon Kim 003; Heung-Kyu Lee (ICIP, 2019)

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. - Yongsub Lim; In-Jae Yu; Dongmin Seo; U Kang; Lee Sael (BMC Bioinform., 2019)

Local-Source Enhanced Residual Network for Steganalysis of Digital Images. - Wonhyuk Ahn; Haneol Jang; Seung-Hun Nam; In-Jae Yu; Heung-Kyu Lee (IEEE Access, 2020)

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images. - Seung-Hun Nam; Seung-Min Mun; Wonhyuk Ahn; Dongkyu Kim; In-Jae Yu; Wook-Hyung Kim; Heung-Kyu Lee (IEEE Access, 2020)

Manipulation Classification for JPEG Images Using Multi-Domain Features. - In-Jae Yu; Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; Heung-Kyu Lee (IEEE Access, 2020)

BitMix: Data Augmentation for Image Steganalysis. - In-Jae Yu; Wonhyuk Ahn; Seung-Hun Nam; Heung-Kyu Lee (CoRR, 2020)

WAN: Watermarking Attack Network. - Seung-Hun Nam; Wonhyuk Ahn; In-Jae Yu; Seung-Min Mun; Heung-Kyu Lee (CoRR, 2020)

WAN: Watermarking Attack Network. - Seung-Hun Nam; In-Jae Yu; Seung-Min Mun; Daesik Kim; Wonhyuk Ahn (BMVC, 2021)

Puzzle-CAM: Improved Localization Via Matching Partial And Full Features. - Sanghyun Jo; In-Jae Yu (ICIP, 2021)

CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing. - Myung-Joon Kwon; In-Jae Yu; Seung-Hun Nam; Heung-Kyu Lee (WACV, 2021)

Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features. - Minseok Yoon; Seung-Hun Nam; In-Jae Yu; Wonhyuk Ahn; Myung-Joon Kwon; Heung-Kyu Lee (CoRR, 2021)

Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. - Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; In-Jae Yu (CoRR, 2021)

Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos. - Woogeun Bae; Seung-Hun Nam; In-Jae Yu; Myung-Joon Kwon; Minseok Yoon; Heung-Kyu Lee (Multim. Tools Appl., 2021)

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. - Seung-Hun Nam; Wonhyuk Ahn; In-Jae Yu; Myung-Joon Kwon; Minseok Son; Heung-Kyu Lee (IEEE Trans. Circuits Syst. Video Technol., 2021)

RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation. - Sang Hyun Jo; In-Jae Yu; Kyung-Su Kim (CoRR, 2022)

DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms. - Seung-Hun Nam; Wonhyuk Ahn; Myung-Joon Kwon; Jihyeon Kang; In-Jae Yu (IEEE Multim., 2022)

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. - Myung-Joon Kwon; Seung-Hun Nam; In-Jae Yu; Heung-Kyu Lee; Changick Kim (Int. J. Comput. Vis., 2022)

MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation. - Sanghyun Jo; In-Jae Yu; Kyungsu Kim (ICCV, 2023)

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation. - Sanghyun Jo; Fei Pan; In-Jae Yu; Kyungsu Kim (ECCV (81), 2024)