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10/11/2022
Race Bias Analysis of Bona Fide Errors in face anti-spoofing
The study of bias in Machine Learning is receiving a lot of attention in...
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06/18/2020
Use of in-the-wild images for anomaly detection in face anti-spoofing
The traditional approach to face anti-spoofing sees it as a binary class...
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06/15/2020
A study of the effect of the illumination model on the generation of synthetic training datasets
The use of computer generated images to train Deep Neural Networks is a ...
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09/21/2019
Using theoretical ROC curves for analysing machine learning binary classifiers
Most binary classifiers work by processing the input to produce a scalar...
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05/23/2019
Watermark retrieval from 3D printed objects via synthetic data training
We present a deep neural network based method for the retrieval of water...
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11/19/2018
