MYUNGJOON KWON (권명준)

Education

• 2021.2 - Present Ph.D. (School of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea

• 2019.2 - 2021.2 M.S. (School of Computing), Korea Advanced Institute of Science Technology, South Korea

• 2015.2 - 2019.2 B.S. (Mathematics and Computer Science), Sogang University, South Korea

Research Interests

• Computer Vision

• Multimedia Forensics

• Machine Learning

Projects

• [Mar. 2020 – Nov. 2020] Study on fundamental technology for Deepfake video detection through Corner-case research (코너 케이스 연구를 통한 딥페이크 동영상 탐지 기반 기술 연구), 카이스트 안보기술연구센터

• [Feb. 2019 – Dec. 2020] Development of high reliability image and video authentication service for smart media environment (스마트미디어 환경을 위한 고신뢰 영상 및 동영상 무결성 인증 서비스 개발), Institute for Information and Communications Technology Promotion (정보통신기획평가원)

Publications

• Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, and Heung-Kyu Lee. CAT-Net: Compression Artifact Tracing Network for Image Splicing Detection and Localization. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp 375-384, 2021.

• Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, and Heung-Kyu Lee. Deep Convolutional Neural Network for Identifying Seam-Carving Forgery. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press.

• In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, and Heung-Kyu Lee. Manipulation Classification for JPEG Images Using Multi-Domain Features. In IEEE Access, vol 8, pp 210837–210854, 2020.

• Woogeun Bae, Seung-Hun Nam, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, and Heung-Kyu Lee. Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos, In Multimedia Tools and Applications, in press.