Search Results for author: Pablo Barros

Found 32 papers, 7 papers with code

All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization

no code implementations2 Oct 2023 Pablo Barros, Alessandra Sciutti

In this paper, we propose a novel model composed of three neural layers that learn a representation of a competitive game, learn how to map the strategy of specific opponents, and how to disrupt them.

Continual Learning

I am Only Happy When There is Light: The Impact of Environmental Changes on Affective Facial Expressions Recognition

no code implementations28 Oct 2022 Doreen Jirak, Alessandra Sciutti, Pablo Barros, Francesco Rea

Human-robot interaction (HRI) benefits greatly from advances in the machine learning field as it allows researchers to employ high-performance models for perceptual tasks like detection and recognition.

Incorporating Rivalry in Reinforcement Learning for a Competitive Game

2 code implementations22 Aug 2022 Pablo Barros, Ozge Nilay Yalcin, Ana Tanevska, Alessandra Sciutti

Recent advances in reinforcement learning with social agents have allowed such models to achieve human-level performance on specific interaction tasks.

reinforcement-learning Reinforcement Learning (RL)

CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition

no code implementations10 Aug 2022 Pablo Barros, Alessandra Sciutti

We finalize our study by discussing how CIAO positions itself within the range of recent findings on non-universal facial expressions perception, and its impact on facial expression recognition research.

Facial Expression Recognition Facial Expression Recognition (FER) +1

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

no code implementations23 Mar 2021 Henrique Siqueira, Pablo Barros, Sven Magg, Cornelius Weber, Stefan Wermter

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.

Facial Expression Recognition Facial Expression Recognition (FER)

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

no code implementations5 Mar 2021 Henrique Siqueira, Pablo Barros, Sven Magg, Stefan Wermter

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

Emotion Recognition

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

no code implementations5 Mar 2021 Henrique Siqueira, Alexander Sutherland, Pablo Barros, Mattias Kerzel, Sven Magg, Stefan Wermter

In this paper, we utilize the NICO robot's appearance and capabilities to give the NICO the ability to model a coherent affective association between a perceived auditory stimulus and a temporally asynchronous emotion expression.

Incorporating Rivalry in Reinforcement Learning for a Competitive Game

no code implementations2 Nov 2020 Pablo Barros, Ana Tanevska, Ozge Yalcin, Alessandra Sciutti

Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks.

reinforcement-learning Reinforcement Learning (RL)

Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions

no code implementations14 Oct 2020 Nikhil Churamani, Pablo Barros, Hatice Gunes, Stefan Wermter

Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour.

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

no code implementations4 Oct 2020 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.

Benchmarking BIG-bench Machine Learning

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

no code implementations5 Aug 2020 Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo Barros, Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes

Their proposed model, the CNN Encoder, associated to other existent path planning algorithms in the literature, was able to obtain a time decrease to find the shortest path in comparison to all path planning algorithms analyzed.

Dimensionality Reduction Navigate

Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents

no code implementations30 Jul 2020 Pablo Barros, Ana Tanevska, Francisco Cruz, Alessandra Sciutti

Designing the decision-making processes of artificial agents that are involved in competitive interactions is a challenging task.

Decision Making reinforcement-learning +1

Facial Expression Editing with Continuous Emotion Labels

no code implementations22 Jun 2020 Alexandra Lindt, Pablo Barros, Henrique Siqueira, Stefan Wermter

Recently deep generative models have achieved impressive results in the field of automated facial expression editing.

CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning

no code implementations10 Apr 2020 Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo Barros

In this work, we propose a CNN encoder capable of eliminating useless routes for motion planning problems, then we combine the proposed neural network output with A*.

Motion Planning

Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game

1 code implementation8 Apr 2020 Pablo Barros, Ana Tanevska, Alessandra Sciutti

Learning how to adapt to complex and dynamic environments is one of the most important factors that contribute to our intelligence.

reinforcement-learning Reinforcement Learning (RL)

It's Food Fight! Introducing the Chef's Hat Card Game for Affective-Aware HRI

1 code implementation25 Feb 2020 Pablo Barros, Alessandra Sciutti, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia Barakova

Emotional expressions and their changes during an interaction affect heavily how we perceive and behave towards other persons.

Human-Computer Interaction

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

no code implementations30 Aug 2019 Pablo Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter

In this paper, we propose a novel dataset composed of dyadic interactions designed, collected and annotated with a focus on measuring the affective impact that eight different stories have on the listener.

Towards Learning How to Properly Play UNO with the iCub Robot

1 code implementation2 Aug 2019 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.

A Personalized Affective Memory Neural Model for Improving Emotion Recognition

no code implementations23 Apr 2019 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.

Emotion Recognition

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

no code implementations15 Oct 2018 Di Fu, Pablo Barros, German I. Parisi, Haiyan Wu, Sven Magg, Xun Liu, Stefan Wermter

The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment.

Unsupervised Expectation Learning for Multisensory Binding

no code implementations27 Sep 2018 Pablo Barros, German I. Parisi, Manfred Eppe, Stefan Wermter

The model adapts concepts of expectation learning to enhance the unisensory representation based on the learned bindings.

A Deep Neural Model Of Emotion Appraisal

2 code implementations1 Aug 2018 Pablo Barros, Emilia Barakova, Stefan Wermter

We evaluate the performance of the proposed model with different challenging corpora and compare it with state-of-the-art models for external emotion appraisal.

Developmental Learning

Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception

no code implementations13 Jul 2018 German I. Parisi, Jonathan Tong, Pablo Barros, Brigitte Röder, Stefan Wermter

In the associative layer, congruent audiovisual representations are obtained via the experience-driven development of feature-based associations.

Causal Inference

The OMG-Emotion Behavior Dataset

no code implementations14 Mar 2018 Pablo Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter

This paper is the basis paper for the accepted IJCNN challenge One-Minute Gradual-Emotion Recognition (OMG-Emotion) by which we hope to foster long-emotion classification using neural models for the benefit of the IJCNN community.

Human-Computer Interaction

Expectation Learning for Adaptive Crossmodal Stimuli Association

no code implementations23 Jan 2018 Pablo Barros, German I. Parisi, Di Fu, Xun Liu, Stefan Wermter

The human brain is able to learn, generalize, and predict crossmodal stimuli.

Cannot find the paper you are looking for? You can Submit a new open access paper.