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Mar 25, 2023 · DeepPhys is an end-to-end system based on deep convolutional network, which can be used to remotely measure biological signals such as human heart rate and ...
By comparing with several state-of-the art rPPG methods, the DeepPhys model trained in this experiment can better detect the biological information in the ...
Oct 1, 2020 · This work introduces a novel DeepFake detection framework based on physiological measurement. In particular, we consider information related to the heart rate.
Mar 25, 2023 · The method mainly operates by using the green spectrum of the RGB camera to generate a multivariate PPG signal to perform multivariate de- ...
DeepFakesON-Phys is DeepFake detection framework based on physiological measurement. In particular, it considers information related to the heart rate using ...
We introduce a novel method that extracts rPPG signals from multiple regions of interest through remote photoplethysmography and processes them using Fast ...
The goal of this paper is to analyze the detectability of this new kind of forgery, here referred to as rPPG deepfake videos.
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Nov 21, 2024 · The objective of this study is to devise a method that employs remote photoplethysmography (rPPG) biosignals for DF detection. The face was ...
Jun 20, 2024 · We introduce a novel method that extracts rPPG signals from multiple regions of interest through remote photoplethysmography and processes them using Fast ...
This study examined rPPG-based techniques and their effectiveness in detecting fake videos made with Generative Adversarial Network (GAN) and Autoencoder ...