activity
20182022
most citedThe FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition

16 citations · 24 across the 15 of their papers we have counts for

collaborators

27 papers

cs.CV20211 cited

I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition

Pablo Barros, Alessandra Sciutti

The current COVID-19 pandemic has shown us that we are still facing unpredictable challenges in our society. The necessary constrain on social interactions affected heavily how we…

cs.CV2021

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

Henrique Siqueira, Pablo Barros, Sven Magg +2

In domains where computational resources and labeled data are limited, such as in robotics, deep networks with millions of weights might not be the optimal solution. In this paper,…

cs.RO2021

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

Henrique Siqueira, Alexander Sutherland, Pablo Barros +3

Effectively recognising and applying emotions to interactions is a highly desirable trait for social robots. Implicitly understanding how subjects experience different kinds of act…

cs.CV2021

An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions

Henrique Siqueira, Pablo Barros, Sven Magg +1

Social robots able to continually learn facial expressions could progressively improve their emotion recognition capability towards people interacting with them. Semi-supervised le…

cs.AI2020

Incorporating Rivalry in Reinforcement Learning for a Competitive Game

Pablo Barros, Ana Tanevska, Ozge Yalcin +1

Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks. However, most interactive scenarios do no…

cs.CV20201 cited

The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge

Pablo Barros, Alessandra Sciutti

Predicting affective information from human faces became a popular task for most of the machine learning community in the past years. The development of immense and dense deep neur…