Search Results for author: Henrique Siqueira

Found 8 papers, 2 papers with code

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)

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.

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

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.

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

1 code implementation17 Jan 2020 Henrique Siqueira, Sven Magg, Stefan Wermter

Experiments on large-scale datasets suggest that ESRs reduce the remaining residual generalization error on the AffectNet and FER+ datasets, reach human-level performance, and outperform state-of-the-art methods on facial expression recognition in the wild using emotion and affect concepts.

Ranked #12 on Facial Expression Recognition (FER) on FER+ (using extra training data)

Facial Expression Recognition Facial Expression Recognition (FER)

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

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