59 citations · 194 across the 46 of their papers we have counts for
7 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…
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…
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…