16 citations · 32 across the 18 of their papers we have counts for
4 papers · 1 filter
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Di Fu, Cornelius Weber, Guochun Yang +6
Selective attention plays an essential role in information acquisition and utilization from the environment. In the past 50 years, research on selective attention has been a centra…
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
Pablo Barros, Nikhil Churamani, Angelica Lim +1
Processing human affective behavior is important for developing intelligent agents that interact with humans in complex interaction scenarios. A large number of current approaches…
Towards Learning How to Properly Play UNO with the iCub Robot
Pablo Barros, Stefan Wermter, Alessandra Sciutti
While interacting with another person, our reactions and behavior are much affected by the emotional changes within the temporal context of the interaction. Our intrinsic affective…
A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Pablo Barros, German I. Parisi, Stefan Wermter
Recent models of emotion recognition strongly rely on supervised deep learning solutions for the distinction of general emotion expressions. However, they are not reliable when rec…