Myung-Joon Kwon - Concepedia

Author

Myung-Joon Kwon

Korea Advanced Institute of Science and Technology ORCID

Also Known As

Kwon, Myung-Joon, Myung-Joon Kwon

Publications

520

Citations

H-Index

Concepts

All Affiliations

Korea Advanced Institute of Science and Technology Naver (South Korea)Korea Innotech (South Korea)

About

Myung-Joon Kwon is an author at Korea Advanced Institute of Science and Technology specializing in engineering, computer vision, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	464
2	Computer Vision	6	6	464
3	Computer Science	4	4	263
4	Data Science	2	2	85
5	Artificial Intelligence	1	1	62

Myung-Joon Kwon

Publications

492

Citations

H-Index

Page 1

	Year	Citations
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Lossy CompressionConvolutional Neural NetworkEngineeringMachine LearningInformation Forensics	2021	187
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, International Journal of Computer Vision Machine VisionMachine LearningImage AnalysisEngineeringPattern Recognition	2022	151
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun, Seungju Cho, Myung-Joon Kwon, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Artificial IntelligenceEngineeringMachine LearningTargeted Adversarial ExamplesImage Analysis	2022	62
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, IEEE Transactions on Circuits and Systems for Video Technology Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning	2020	27
Manipulation Classification for JPEG Images Using Multi-Domain Features In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, IEEE Access Jpeg CompressionJpeg ImagesMachine LearningEngineeringInformation Forensics	2020	23
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup Junyoung Byun, Myung-Joon Kwon, Seungju Cho,	2023	18
Frame-rate up-conversion detection based on convolutional neural network for learning spatiotemporal features Min-Seok Yoon, Seung-Hun Nam, In-Jae Yu, Forensic Science International Frame-rate Up-conversion DetectionConvolutional Neural NetworkMachine VisionImage AnalysisEngineering	2022	14
SAFIRE: Segment Any Forged Image Region Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Proceedings of the AAAI Conference on Artificial Intelligence	2025	10

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