no code implementations • 2 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.
no code implementations • 28 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.
2 code implementations • 22 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.
no code implementations • 10 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
no code implementations • 15 Jun 2021 • Luis Felipe Henriques, Sérgio Colcher, Ruy Luiz Milidiú, André Bulcão, Pablo Barros
Our method uses deep learning models to generate pairs of seismic image patches and their respective salt masks for the Data Augmentation.
no code implementations • 16 Apr 2021 • Pablo Barros, Alessandra Sciutti
We evaluate how the recently proposed FaceChannel adapts towards recognizing facial expressions from persons with masks.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 23 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)
no code implementations • 5 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.
no code implementations • 5 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.
no code implementations • 2 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.
no code implementations • 14 Oct 2020 • Nikhil Churamani, Pablo Barros, Hatice Gunes, Stefan Wermter
Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour.
no code implementations • 4 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.
no code implementations • 15 Sep 2020 • Pablo Barros, Nikhil Churamani, Alessandra Sciutti
We conclude our paper with an analysis of how FaceChannel learns and adapt the learned facial features towards the different datasets.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 18 Aug 2020 • Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro, Yves M. Galvão, Pablo Barros, Bruno J. T. Fernandes
Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms.
no code implementations • 5 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.
no code implementations • 30 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.
no code implementations • 22 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.
1 code implementation • 17 Apr 2020 • Pablo Barros, Nikhil Churamani, Alessandra Sciutti
Current state-of-the-art models for automatic FER are based on very deep neural networks that are difficult to train.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 10 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*.
1 code implementation • 8 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.
1 code implementation • 12 Mar 2020 • Pablo Barros, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia Barakova, Alessandra Sciutti
To achieve social interactions within Human-Robot Interaction (HRI) environments is a very challenging task.
1 code implementation • 25 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
no code implementations • 5 Sep 2019 • Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo Barros, Haiyan Wu, Xun Liu, Stefan Wermter
Selective attention plays an essential role in information acquisition and utilization from the environment.
no code implementations • 30 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.
1 code implementation • 2 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.
no code implementations • 23 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.
no code implementations • 15 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.
no code implementations • 27 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.
2 code implementations • 1 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.
no code implementations • 13 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.
no code implementations • 14 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
no code implementations • 23 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.