2020 - 2022
Deskripsi
Image Application of Neural Network
- Master Thesis: Dual Attention Network Approaches to Face Forgery Video Detection
This study designed a Dual Attention for Forgery Detection Network (DAFDN), which uses spatial reduction attention block (SRAB) and forgery feature attention module (FFAM) applied to the backbone network. DAFDN embeds the two proposed attention mechanisms and enables the network to extract the peculiar traces left by the warping of images.
- Project
1. Deep Fake Detection
This case cooperates with Institute for Information Industry (III).
2. Ministry of Science and Technology Project: 5G & Tactile Internet
In this project, I participated in the preliminary literature discussion and the content planning of the project.