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Seung-Hun Nam
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2020 – today
- 2024
- [c7]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]Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam:
A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. ICASSP 2024: 3660-3664 - [i11]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]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]Hyun Kwon, Seung-Hun Nam:
Audio adversarial detection through classification score on speech recognition systems. Comput. Secur. 126: 103061 (2023) - [i9]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]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]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]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]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]Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn:
WAN: Watermarking Attack Network. BMVC 2021: 420 - [c4]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]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]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]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]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]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]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]In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee:
BitMix: Data Augmentation for Image Steganalysis. CoRR abs/2006.16625 (2020) - [i4]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]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
- [j3]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]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]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]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]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]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]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]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
Coauthor Index
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