VideoForensicsHQ: Detecting High-quality Manipulated Face Videos

VideoForensicsHQ: Detecting High-quality Manipulated Face Videos

20 May 2020

Wentao Liu

Hans-Peter Seidel

Mohamed A. Elgharib

Christian Theobalt

Papers citing "VideoForensicsHQ: Detecting High-quality Manipulated Face Videos"

4 / 4 papers shown

Title
Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts Yang Li Songlin Yang Wei Wang Ziwen He Bo Peng Jing Dong AAML 24 2 0 12 Apr 2024
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review Enes ALTUNCU V. N. Franqueira Shujun Li 14 11 0 21 Aug 2022
KoDF: A Large-scale Korean DeepFake Detection Dataset Patrick Kwon J. You Gyuhyeon Nam Sungwoo Park Gyeongsu Chae 16 99 0 18 Mar 2021
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection D. Cozzolino Giovanni Poggi L. Verdoliva 101 324 0 14 Mar 2017