Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

21 July 2022

Errui Ding

Jingdong Wang

Papers citing "Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption"

7 / 7 papers shown

Title
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection Yuzhen Lin Wentang Song Bin Li Yuezun Li Jiangqun Ni Han Chen Qiushi Li 34 13 0 22 Sep 2024
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes Nicolas Larue Ngoc-Son Vu Vitomir Štruc Peter Peer V. Christophides AAML 35 27 0 21 Nov 2022
Delving into Sequential Patches for Deepfake Detection Jiazhi Guan Hang Zhou Zhibin Hong Errui Ding Jingdong Wang Chengbin Quan Youjian Zhao ViT 25 61 0 06 Jul 2022
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario Yukai Wang Chunlei Peng Decheng Liu N. Wang Xinbo Gao 47 14 0 05 Jul 2022
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu Xiaodan Li Wenbo Zhou YueFeng Chen Yuan He Hui Xue Weiming Zhang Nenghai Yu CVBM 168 360 0 02 Mar 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection Bojia Zi Minghao Chang Jingjing Chen Xingjun Ma Yu-Gang Jiang CVBM 85 374 0 05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 149 1,046 0 27 Sep 2019