16 citations · 19 across the 6 of their papers we have counts for
10 papers
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…
Action similarity judgment based on kinematic primitives
Vipul Nair, Paul Hemeren, Alessia Vignolo +7
Understanding which features humans rely on -- in visually recognizing action similarity is a crucial step towards a clearer picture of human action perception from a learning and…
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
Pablo Barros, Ana Tanevska, Francisco Cruz +1
Designing the decision-making processes of artificial agents that are involved in competitive interactions is a challenging task. In a competitive scenario, the agent does not only…
Towards Transparency of TD-RL Robotic Systems with a Human Teacher
Marco Matarese, Silvia Rossi, Alessandra Sciutti +1
The high request for autonomous and flexible HRI implies the necessity of deploying Machine Learning (ML) mechanisms in the robot control. Indeed, the use of ML techniques, such as…
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…