32 citations · 112 across the 31 of their papers we have counts for
12 papers · 1 filter
I am Only Happy When There is Light: The Impact of Environmental Changes on Affective Facial Expressions Recognition
Doreen Jirak, Alessandra Sciutti, Pablo Barros +1
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 dete…
CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition
Pablo Barros, Alessandra Sciutti
Current facial expression recognition systems demand an expensive re-training routine when deployed to different scenarios than they were trained for. Biasing them towards learning…
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…
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,…
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…
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…
The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition
Pablo Barros, Nikhil Churamani, Alessandra Sciutti
Current state-of-the-art models for automatic Facial Expression Recognition (FER) are based on very deep neural networks that are effective but rather expensive to train. Given the…
Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model
Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão +3
Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path p…
Facial Expression Editing with Continuous Emotion Labels
Alexandra Lindt, Pablo Barros, Henrique Siqueira +1
Recently deep generative models have achieved impressive results in the field of automated facial expression editing. However, the approaches presented so far presume a discrete re…
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
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. This makes it challenging to adapt these models to changing co…
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…
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…