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  2. Publications
  3. Frequency-Enhanced Multi-Modal Consistency Learning for Audio-Visual Deepfake Detection
  1. Home
  2. Publications
  3. Frequency-Enhanced Multi-Modal Consistency Learning for Audio-Visual Deepfake Detection

Frequency-Enhanced Multi-Modal Consistency Learning for Audio-Visual Deepfake Detection

Authors:
  • XZXinyu Zheng
    Xinyu Zheng
  • DZDongdong Zhang
    Dongdong Zhang
  • CSChengyu Sun
    Chengyu Sun

Open Access
Publisher website
Google Scholar
  • 6 December 2025
    • conference paper
    • Published by Association for Computing Machinery (ACM)
    • p. 1-7
    • DOI:10.1145/3743093.3771003
Abstract
No abstract available

This publication has 28 references indexed in Scilit:

  • AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
    2024
  • Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
    2023
  • Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
    2023
  • Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
    2023
  • Detecting Deepfakes with Self-Blended Images
    2022
  • End-to-End Reconstruction-Classification Learning for Face Forgery Detection
    2022
  • Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
    2022
  • Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
    2021
  • Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
    2020
  • A Closer Look at Spatiotemporal Convolutions for Action Recognition
    2018

Publications with shared reference occurs when two publications share one or more common references. This publication has 25388 Publications with shared reference indexed in Scilit, top 10 records with the most shared references are listed below:

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