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FakeTransformer: Exposing Face Forgery From Spatial-Temporal
  Representation Modeled By Facial Pixel Variations

FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations

15 November 2021
Yuyang Sun
Zhiyong Zhang
Changzhen Qiu
Liang Wang
Zekai Wang
    ViT
ArXivPDFHTML

Papers citing "FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations"

5 / 5 papers shown
Title
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and
  Physiological Cues
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Zitong Yu
Rizhao Cai
Zhi Li
Wenhan Yang
Jingang Shi
Alex C. Kot
AAML
CVBM
34
32
0
10 Aug 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and
  Deploying in the Wild
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
36
8
0
27 Apr 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,885
0
14 Dec 2020
DeepFake Detection: Current Challenges and Next Steps
DeepFake Detection: Current Challenges and Next Steps
Siwei Lyu
55
158
0
11 Mar 2020
Learning-based Video Motion Magnification
Learning-based Video Motion Magnification
Tae-Hyun Oh
Ronnachai Jaroensri
Changil Kim
Mohamed A. Elgharib
F. Durand
William T. Freeman
Wojciech Matusik
40
151
0
08 Apr 2018
1