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04/26/2021
Machine Learning based Lie Detector applied to a Collected and Annotated Dataset
Lie detection is considered a concern for everyone in their day to day l...
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02/18/2021
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
Affective Computing has recently attracted the attention of the research...
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02/03/2020
Adversarial-based neural network for affect estimations in the wild
There is a growing interest in affective computing research nowadays giv...
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02/03/2020
Adversarial-based neural networks for affect estimations in the wild
There is a growing interest in affective computing research nowadays giv...
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12/10/2019
End-to-end facial and physiological model for Affective Computing and applications
In recent years, Affective Computing and its applications have become a ...
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01/24/2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders
Learning disentangled representations from visual data, where different ...
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03/01/2018
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis
We propose a Multi-Instance-Learning (MIL) approach for weakly-supervise...
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09/06/2016
