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In-Jae Yu
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2020 – today
- 2024
- [i10]Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim:
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation. CoRR abs/2404.00380 (2024) - 2023
- [c9]Sanghyun Jo, In-Jae Yu, Kyungsu Kim:
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation. ICCV 2023: 614-623 - [i9]Sanghyun Jo, In-Jae Yu, Kyungsu Kim:
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation. CoRR abs/2304.09913 (2023) - 2022
- [j9]Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu:
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms. IEEE Multim. 29(2): 11-22 (2022) - [j8]Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim:
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. Int. J. Comput. Vis. 130(8): 1875-1895 (2022) - [i8]Sang Hyun Jo, In-Jae Yu, Kyung-Su Kim:
RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation. CoRR abs/2204.06754 (2022) - 2021
- [j7]Woogeun Bae, Seung-Hun Nam, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, Heung-Kyu Lee:
Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos. Multim. Tools Appl. 80(20): 30879-30906 (2021) - [j6]Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee:
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3308-3326 (2021) - [c8]Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn:
WAN: Watermarking Attack Network. BMVC 2021: 420 - [c7]Sanghyun Jo, In-Jae Yu:
Puzzle-CAM: Improved Localization Via Matching Partial And Full Features. ICIP 2021: 639-643 - [c6]Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee:
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing. WACV 2021: 375-384 - [i7]Sanghyun Jo, In-Jae Yu:
Puzzle-CAM: Improved localization via matching partial and full features. CoRR abs/2101.11253 (2021) - [i6]Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee:
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features. CoRR abs/2103.13674 (2021) - [i5]Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu:
Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. CoRR abs/2107.08939 (2021) - [i4]Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim:
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. CoRR abs/2108.12947 (2021) - 2020
- [j5]Seung-Hun Nam, Seung-Min Mun, Wonhyuk Ahn, Dongkyu Kim, In-Jae Yu, Wook-Hyung Kim, Heung-Kyu Lee:
NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images. IEEE Access 8: 93760-93781 (2020) - [j4]Wonhyuk Ahn, Haneol Jang, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee:
Local-Source Enhanced Residual Network for Steganalysis of Digital Images. IEEE Access 8: 137789-137798 (2020) - [j3]In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee:
Manipulation Classification for JPEG Images Using Multi-Domain Features. IEEE Access 8: 210837-210854 (2020) - [i3]In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee:
BitMix: Data Augmentation for Image Steganalysis. CoRR abs/2006.16625 (2020) - [i2]Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee:
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. CoRR abs/2007.02393 (2020) - [i1]Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Seung-Min Mun, Heung-Kyu Lee:
WAN: Watermarking Attack Network. CoRR abs/2008.06255 (2020)
2010 – 2019
- 2019
- [j2]Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael:
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. 20-S(13): 381:1-381:12 (2019) - [c5]Seung-Hun Nam, Wonhyuk Ahn, Seung-Min Mun, Jin-Seok Park, Dongkyu Kim, In-Jae Yu, Heung-Kyu Lee:
Content-Aware Image Resizing Detection Using Deep Neural Network. ICIP 2019: 106-110 - [c4]Seung-Hun Nam, Jin-Seok Park, Dongkyu Kim, In-Jae Yu, Tae-Yeon Kim, Heung-Kyu Lee:
Two-Stream Network for Detecting Double Compression of H.264 Videos. ICIP 2019: 111-115 - 2018
- [j1]Jin-Seok Park, Hyeon-Gi Kim, Do-Guk Kim, In-Jae Yu, Heung-Kyu Lee:
Paired mini-batch training: A new deep network training for image forensics and steganalysis. Signal Process. Image Commun. 67: 132-139 (2018) - 2017
- [c3]In-Jae Yu, Do-Guk Kim, Jin-Seok Park, Jong-Uk Hou, Sunghee Choi, Heung-Kyu Lee:
Identifying photorealistic computer graphics using convolutional neural networks. ICIP 2017: 4093-4097 - [c2]Dongkyu Kim, Han-Ul Jang, Hak-Yeol Choi, Jeongho Son, In-Jae Yu, Heung-Kyu Lee:
Improved 3D Mesh Steganalysis Using Homogeneous Kernel Map. ICISA 2017: 358-365 - [c1]Jong-Uk Hou, In-Jae Yu, Hyun-Ji Song, Heung-Kyu Lee:
Robust 3D Mesh Watermarking Scheme for an Anti-Collusion Fingerprint Code. WISA 2017: 25-35
Coauthor Index
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