3 citations · 4 across the 4 of their papers we have counts for
4 papers
GreenCOD: A Green Camouflaged Object Detection Method
Hong-Shuo Chen, Yao Zhu, Suya You +2
We introduce GreenCOD, a green method for detecting camouflaged objects, distinct in its avoidance of backpropagation techniques. GreenCOD leverages gradient boosting and deep feat…
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work. GS consists of three modules: 1) pix…
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…
An Interpretable Generative Model for Handwritten Digit Image Synthesis
Yao Zhu, Saksham Suri, Pranav Kulkarni +3
An interpretable generative model for handwritten digits synthesis is proposed in this work. Modern image generative models, such as Generative Adversarial Networks (GANs) and Vari…