Search Results for author:
Found 6 papers, 3 papers with code
Deep self-supervised learning with visualisation for automatic gesture recognition
Then, reconstruction method is applied to unlabelled data in simulated settings using CNN as a backbone where we use the learnt features to perform the prediction in the remaining labelled data.
Predicting Eye Gaze Location on Websites
This is done by the curation of a unified dataset that consists of website screenshots, eye-gaze heatmap and website's layout information in the form of image and text masks.
Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset
Lie detection is considered a concern for everyone in their day to day life given its impact on human interactions.
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
This paper addresses these shortcomings by proposing a novel model that efficiently extracts both spatial and temporal features of the data by means of its enhanced temporal modelling based on latent features.
Adversarial-based neural networks for affect estimations in the wild
However, the use of latent features, which is feasible through adversarial learning, is not largely explored, yet.
End-to-end facial and physiological model for Affective Computing and applications
In this work, we propose a multi-modal emotion recognition model based on deep learning techniques using the combination of peripheral physiological signals and facial expressions.
