Dynamic texture analysis for detecting fake faces in video sequences-Reference-Cited by-同舟云学术

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Dynamic texture analysis for detecting fake faces in video sequences

Published:2021-08 Issue: Volume:79 Page:103239
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Bonomi Mattia,Pasquini Cecilia,Boato Giulia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference60 articles.

1. Faceforensics++: Learning to detect manipulated facial images;Rössler,2019

2. Deepfake detection challenge (DFDC),2020

3. Watch Jordan Peele use AI to make barack obama deliver a PSA about fake news;Vincent,2019

4. Physiologically-based detection of computer generated faces in video;Conotter,2014

5. Protecting world leaders against deep fakes;Agarwal,2019

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1. Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review;Expert Systems with Applications;2024-09

2. A systematic literature review on deepfake detection techniques;Multimedia Tools and Applications;2024-08-02

3. Tex-Net: texture-based parallel branch cross-attention generalized robust Deepfake detector;Multimedia Systems;2024-08

4. Fake news or real? Detecting deepfake videos using geometric facial structure and graph neural network;Technological Forecasting and Social Change;2024-08

5. Deep fake detection using an optimal deep learning model with multi head attention-based feature extraction scheme;The Visual Computer;2024-07-17

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