Video forgeries are detectable via binary classification on multimedia stream descriptors without pixel analysis.
Fast face-swap using convolutional neural networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2019 2verdicts
UNVERDICTED 2representative citing papers
UP-GAN uses a GAN to obscure faces while preserving utility attributes like age, gender, pose, and expression better than blurring or pixelation.
citing papers explorer
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We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
Video forgeries are detectable via binary classification on multimedia stream descriptors without pixel analysis.
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A Utility-Preserving GAN for Face Obscuration
UP-GAN uses a GAN to obscure faces while preserving utility attributes like age, gender, pose, and expression better than blurring or pixelation.