19 citations · 23 across the 4 of their papers we have counts for
4 papers
Adversarial-based neural networks for affect estimations in the wild
Decky Aspandi, Adria Mallol-Ragolta, Björn Schuller +1
There is a growing interest in affective computing research nowadays given its crucial role in bridging humans with computers. This progress has been recently accelerated due to th…
End-to-end facial and physiological model for Affective Computing and applications
Joaquim Comas, Decky Aspandi, Xavier Binefa
In recent years, Affective Computing and its applications have become a fast-growing research topic. Furthermore, the rise of Deep Learning has introduced significant improvements…
Learning Disentangled Representations with Reference-Based Variational Autoencoders
Adria Ruiz, Oriol Martinez, Xavier Binefa +1
Learning disentangled representations from visual data, where different high-level generative factors are independently encoded, is of importance for many computer vision tasks. So…
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Adria Ruiz, Ognjen Rudovic, Xavier Binefa +1
In this paper, we address the Multi-Instance-Learning (MIL) problem when bag labels are naturally represented as ordinal variables (Multi--Instance--Ordinal Regression). Moreover,…