32 citations · 109 across the 15 of their papers we have counts for
3 papers · 1 filter
CentralNet: a Multilayer Approach for Multimodal Fusion
Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux +1
This paper proposes a novel multimodal fusion approach, aiming to produce best possible decisions by integrating information coming from multiple media. While most of the past mult…
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets
Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux +2
This paper presents a light-weight and accurate deep neural model for audiovisual emotion recognition. To design this model, the authors followed a philosophy of simplicity, drasti…
CAKE: Compact and Accurate K-dimensional representation of Emotion
Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux +2
Numerous models describing the human emotional states have been built by the psychology community. Alongside, Deep Neural Networks (DNN) are reaching excellent performances and are…