13 citations · 31 across the 5 of their papers we have counts for
5 papers
DefakeHop++: An Enhanced Lightweight Deepfake Detector
Hong-Shuo Chen, Shuowen Hu, Suya You +1
On the basis of DefakeHop, an enhanced lightweight Deepfake detector called DefakeHop++ is proposed in this work. The improvements lie in two areas. First, DefakeHop examines three…
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel method for detecting CNN-generated images, called Attentive PixelHop (or A-PixelHop), is proposed in this work. It has three advantages: 1) low computational complexity and…
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu +2
A robust fake satellite image detection method, called Geo-DefakeHop, is proposed in this work. Geo-DefakeHop is developed based on the parallel subspace learning (PSL) methodology…
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
Kaitai Zhang, Bin Wang, Hong-Shuo Chen +3
The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos. The major drawback of existing dynamic texture synth…
DefakeHop: A Light-Weight High-Performance Deepfake Detector
Hong-Shuo Chen, Mozhdeh Rouhsedaghat, Hamza Ghani +3
A light-weight high-performance Deepfake detection method, called DefakeHop, is proposed in this work. State-of-the-art Deepfake detection methods are built upon deep neural networ…