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2020 – today

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2024
[c7]
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Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong:
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. AAAI 2024: 674-681
[c6]
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Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam:
A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. ICASSP 2024: 3660-3664
[i11]
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  - journals/corr/abs-2403-14264
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Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam:
A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. CoRR abs/2403.14264 (2024)
[i10]
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  - journals/corr/abs-2403-19254
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Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam:
Imperceptible Protection against Style Imitation from Diffusion Models. CoRR abs/2403.19254 (2024)
2023
[j11]
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Hyun Kwon, Seung-Hun Nam:
Audio adversarial detection through classification score on speech recognition systems. Comput. Secur. 126: 103061 (2023)
[i9]
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  - journals/corr/abs-2309-06933
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Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong:
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. CoRR abs/2309.06933 (2023)
2022
[j10]
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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)
[j9]
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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)
2021
[j8]
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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)
[j7]
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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)
[c5]
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Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn:
WAN: Watermarking Attack Network. BMVC 2021: 420
[c4]
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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
[i8]
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  - journals/corr/abs-2103-13674
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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)
[i7]
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  - journals/corr/abs-2107-08939
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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)
[i6]
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  - journals/corr/abs-2108-12947
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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
[j6]
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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)
[j5]
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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)
[j4]
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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)
[i5]
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  - journals/corr/abs-2006-16625
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In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee:
BitMix: Data Augmentation for Image Steganalysis. CoRR abs/2006.16625 (2020)
[i4]
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  - journals/corr/abs-2007-02393
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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)
[i3]
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  - journals/corr/abs-2008-06255
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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

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2019
[j3]
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Seung-Min Mun, Seung-Hun Nam, Haneol Jang, Dongkyu Kim, Heung-Kyu Lee:
Finding robust domain from attacks: A learning framework for blind watermarking. Neurocomputing 337: 191-202 (2019)
[j2]
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  - journals/mta/KimNKL19
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Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee:
Robust watermarking in curvelet domain for preserving cleanness of high-quality images. Multim. Tools Appl. 78(12): 16887-16906 (2019)
[c3]
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  - conf/icip/NamAMPKYL19
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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
[c2]
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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]
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Seung-Hun Nam, Wook-Hyung Kim, Seung-Min Mun, Jong-Uk Hou, Sunghee Choi, Heung-Kyu Lee:
A SIFT features based blind watermarking for DIBR 3D images. Multim. Tools Appl. 77(7): 7811-7850 (2018)
[i2]
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  - journals/corr/abs-1805-06181
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Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee:
Robust curvelet domain watermarking technique that preserves cleanness of high quality images. CoRR abs/1805.06181 (2018)
2017
[i1]
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  - journals/corr/MunNJKL17
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Seung-Min Mun, Seung-Hun Nam, Han-Ul Jang, Dongkyu Kim, Heung-Kyu Lee:
A Robust Blind Watermarking Using Convolutional Neural Network. CoRR abs/1704.03248 (2017)
2014
[c1]
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  - conf/ccs/HouPKNL14
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Jong-Uk Hou, Jin-Seok Park, Do-Guk Kim, Seung-Hun Nam, Heung-Kyu Lee:
Robust video watermarking for MPEG compression and DA-AD conversion. IWIHC@AsiaCCS 2014: 2-8

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