Myung-Joon Kwon

According to our database, Myung-Joon Kwon authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Adversarial Transferability Via Feature Translation.

Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim

Proceedings of the IEEE International Conference on Image Processing, 2023

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models.

Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup.

Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization.

Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim

Int. J. Comput. Vis., 2022

DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms.

Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Jihyeon Kang, In-Jae Yu

IEEE Multim., 2022

Adaptive Warping Network for Transferable Adversarial Attacks.

Minji Son, Myung-Joon Kwon, Heeseon Kim, Junyoung Byun, Seungju Cho, Changick Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Adversarial Training with Channel Attention Regularization.

Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input.

Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery.

Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu, Myung-Joon Kwon, Minseok Son, Heung-Kyu Lee

IEEE Trans. Circuits Syst. Video Technol., 2021

Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos.

Woogeun Bae, Seung-Hun Nam, In-Jae Yu, Myung-Joon Kwon, Minseok Yoon, Heung-Kyu Lee

Multim. Tools Appl., 2021

Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN.

Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu

CoRR, 2021

Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features.

Minseok Yoon, Seung-Hun Nam, In-Jae Yu, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee

CoRR, 2021

CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing.

Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, Heung-Kyu Lee

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Manipulation Classification for JPEG Images Using Multi-Domain Features.

In-Jae Yu, Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, Heung-Kyu Lee

IEEE Access, 2020