Seung-Hun Nam - RankMe

35 papers A* 3A 2B 2Misc 2Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. CVPR Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
2025	A*	`conf`	SAFIRE: Segment Any Forged Image Region. AAAI Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim
2025	Misc	`conf`	VisAgent: Narrative-Preserving Story Visualization Framework. ICASSP Seungkwon Kim, Gyutae Park, Sangyeon Kim, Seung-Hun Nam
2025	J	`jnl`	VisAgent: Narrative-Preserving Story Visualization Framework. CoRR Seungkwon Kim, Gyutae Park, Sangyeon Kim, Seung-Hun Nam
2024	Misc	`conf`	A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. ICASSP Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam
2024	J	`jnl`	A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification. CoRR Seungkwon Kim, Sangyeon Kim, Seung-Hun Nam
2024	A*	`conf`	DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. AAAI Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
2024	J	`jnl`	Imperceptible Protection against Style Imitation from Diffusion Models. CoRR Namhyuk Ahn, Wonhyuk Ahn, KiYoon Yoo, Daesik Kim, Seung-Hun Nam
2024	J	`jnl`	Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models. CoRR Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn, Daesik Kim, Seung-Hun Nam
2024	J	`jnl`	SAFIRE: Segment Any Forged Image Region. CoRR Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim
2023	J	`jnl`	Audio adversarial detection through classification score on speech recognition systems. Comput. Secur. Hyun Kwon, Seung-Hun Nam
2023	J	`jnl`	DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. CoRR Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
2022	J	`jnl`	DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms. IEEE Multim. Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu
2022	J	`jnl`	Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. Int. J. Comput. Vis. Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
2021	A	`conf`	CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing. WACV Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee
2021	J	`jnl`	Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. IEEE Trans. Circuits Syst. Video Technol. Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
2021	J	`jnl`	Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. CoRR Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu
2021	J	`jnl`	Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos. Multim. Tools Appl. Woogeun Bae, Seung-Hun Nam, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, Heung-Kyu Lee
2021	J	`jnl`	Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features. CoRR Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
2021	J	`jnl`	Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. CoRR Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
2021	A	`conf`	WAN: Watermarking Attack Network. BMVC Seung-Hun Nam, In-Jae Yu, Seung-Min Mun, Daesik Kim, Wonhyuk Ahn
2020	J	`jnl`	BitMix: Data Augmentation for Image Steganalysis. CoRR In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam, Heung-Kyu Lee
2020	J	`jnl`	Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. CoRR Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee
2020	J	`jnl`	Local-Source Enhanced Residual Network for Steganalysis of Digital Images. IEEE Access Wonhyuk Ahn, Haneol Jang, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee
2020	J	`jnl`	Manipulation Classification for JPEG Images Using Multi-Domain Features. IEEE Access In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee
2020	J	`jnl`	NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images. IEEE Access Seung-Hun Nam, Seung-Min Mun, Wonhyuk Ahn, Dongkyu Kim, In-Jae Yu, Wook-Hyung Kim, Heung-Kyu Lee
2020	J	`jnl`	WAN: Watermarking Attack Network. CoRR Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Seung-Min Mun, Heung-Kyu Lee
2019	B	`conf`	Content-Aware Image Resizing Detection Using Deep Neural Network. ICIP Seung-Hun Nam, Wonhyuk Ahn, Seung-Min Mun, Jin-Seok Park, Dongkyu Kim, In-Jae Yu, Heung-Kyu Lee
2019	J	`jnl`	Finding robust domain from attacks: A learning framework for blind watermarking. Neurocomputing Seung-Min Mun, Seung-Hun Nam, Haneol Jang, Dongkyu Kim, Heung-Kyu Lee
2019	J	`jnl`	Robust watermarking in curvelet domain for preserving cleanness of high-quality images. Multim. Tools Appl. Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee
2019	B	`conf`	Two-Stream Network for Detecting Double Compression of H.264 Videos. ICIP Seung-Hun Nam, Jin-Seok Park, Dongkyu Kim, In-Jae Yu, Tae-Yeon Kim, Heung-Kyu Lee
2018	J	`jnl`	A SIFT features based blind watermarking for DIBR 3D images. Multim. Tools Appl. Seung-Hun Nam, Wook-Hyung Kim, Seung-Min Mun, Jong-Uk Hou, Sunghee Choi, Heung-Kyu Lee
2018	J	`jnl`	Robust curvelet domain watermarking technique that preserves cleanness of high quality images. CoRR Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang, Heung-Kyu Lee
2017	J	`jnl`	A Robust Blind Watermarking Using Convolutional Neural Network. CoRR Seung-Min Mun, Seung-Hun Nam, Han-Ul Jang, Dongkyu Kim, Heung-Kyu Lee
2014	—	`conf`	Robust video watermarking for MPEG compression and DA-AD conversion. IWIHC@AsiaCCS Jong-Uk Hou, Jin-Seok Park, Do-Guk Kim, Seung-Hun Nam, Heung-Kyu Lee