Search Results for author: Ahmed Ghoneim

Found 2 papers, 0 papers with code

Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset

no code implementations16 Nov 2021 Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf, Mohammad Mavadati

In this paper, we investigate the impact of some of the commonly used settings for (a) preprocessing face images, and (b) classification and training, on Action Unit (AU) detection performance and complexity.

Action Unit Detection Classification

Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset

no code implementations16 Nov 2021 Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf, Mohammad Mavadati

In this paper we explore the influence of some frequently used Convolutional Neural Networks (CNNs), training settings, and training set structures, on Action Unit (AU) detection.

Action Unit Detection

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