Search Results for author: Hong-Shuo Chen

Found 6 papers, 1 papers with code

Green Steganalyzer: A Green Learning Approach to Image Steganalysis

no code implementations6 Jun 2023 Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C. -C. Jay Kuo

A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work.

Self-Supervised Learning Steganalysis

DefakeHop++: An Enhanced Lightweight Deepfake Detector

no code implementations30 Apr 2022 Hong-Shuo Chen, Shuowen Hu, Suya You, C. -C. Jay Kuo

Second, for discriminant features selection, DefakeHop uses an unsupervised approach while DefakeHop++ adopts a more effective approach with supervision, called the Discriminant Feature Test (DFT).

Face Swapping

A-PixelHop: A Green, Robust and Explainable Fake-Image Detector

no code implementations7 Nov 2021 Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C. -C. Jay Kuo

A novel method for detecting CNN-generated images, called Attentive PixelHop (or A-PixelHop), is proposed in this work.

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

no code implementations13 Apr 2021 Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos.

Texture Synthesis

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