FakeForward: Using Deepfake Technology for Feedforward Learning

Christopher Clarke; Jingnan Xu; Ye Zhu; Karan Dharamshi; Harry McGill; Stephen Black; Christof Lutteroth

FakeForward: Using Deepfake Technology for Feedforward Learning

Christopher Clarke, Jingnan Xu, Ye Zhu, Karan Dharamshi, Harry McGill, Stephen Black, Christof Lutteroth

Research output: Contribution to conference › Paper › peer-review

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Original language	English
Publication status	Acceptance date - 1 Mar 2023
Event	ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI 2023) - Hamburg, Hamburg, Germany Duration: 23 Apr 2023 → …

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI 2023)
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → …

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FakeForward_CHI_2023
This is the author’s version of the work. It is posted here for your personal use. The definitive Version of Record was published in Proceedings of the2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany, https://doi.org/10.1145/3544548.3581100.
Accepted author manuscript, 1.85 MBLicence: CC BY

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Lutteroth, C., McGuigan, P., O'Neill, E., Petrini, K., Proulx, M. & Yang, Y.
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council

Cite this

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title = "FakeForward: Using Deepfake Technology for Feedforward Learning",

author = "Christopher Clarke and Jingnan Xu and Ye Zhu and Karan Dharamshi and Harry McGill and Stephen Black and Christof Lutteroth",

note = "This work was supported and partly funded by the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA 2.0; EP/T022523/1) at the University of Bath.; ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI 2023) ; Conference date: 23-04-2023",

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day = "1",

language = "English",

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TY - CONF

T1 - FakeForward: Using Deepfake Technology for Feedforward Learning

AU - Clarke, Christopher

AU - Xu, Jingnan

AU - Zhu, Ye

AU - Dharamshi, Karan

AU - McGill, Harry

AU - Black, Stephen

AU - Lutteroth, Christof

N1 - This work was supported and partly funded by the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA 2.0; EP/T022523/1) at the University of Bath.

PY - 2023/3/1

Y1 - 2023/3/1

M3 - Paper

T2 - ACM CHI Conference on Human Factors in Computing Systems 2023 (CHI 2023)

Y2 - 23 April 2023

ER -

FakeForward: Using Deepfake Technology for Feedforward Learning

Conference

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Projects

Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0

Cite this