The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is ...
This paper presents our approach for Facial Expression Intensity Estimat...
Harmonizing the analysis of data, especially of 3-D image volumes, consi...
This paper describes the fourth Affective Behavior Analysis in-the-wild
...
This paper presents the baseline approach for the organized 2nd Covid-19...
Automatic Facial Expression Recognition (FER) has attracted increasing
a...
This paper describes the third Affective Behavior Analysis in-the-wild (...
Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can as...
Multi-Task Learning has emerged as a methodology in which multiple tasks...
Affect recognition based on subjects' facial expressions has been a topi...
The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is t...
Automatic facial behavior analysis has a long history of studies in the
...
In this project, we created a database with two types of annotations use...
Emotions play an important role in people's life. Understanding and
reco...
Generative Adversarial Networks (GANs) were proposed in 2014 by Goodfell...
Emotions recognition is the task of recognizing people's emotions. Usual...
In the context of HCI, building an automatic system to recognize affect ...
This paper presents a novel CNN-RNN based approach, which exploits multi...
Affective computing has been largely limited in terms of available data
...
This paper presents a novel approach for synthesizing facial affect; eit...
Over the past few years many research efforts have been devoted to the f...
Automatic understanding of human affect using visual signals is a proble...
This paper presents a novel approach for synthesizing facial affect, whi...
A novel procedure is presented in this paper, for training a deep
convol...
This paper presents our approach to the One-Minute Gradual-Emotion
Recog...
Automatic understanding of human affect using visual signals is of great...