6 citations · 10 across the 4 of their papers we have counts for
4 papers
Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation
Ryosuke Kawamura, Hideaki Hayashi, Shunsuke Otake +2
Dynamic facial expression recognition (DFER) is a task that estimates emotions from facial expression video sequences. For practical applications, accurately recognizing ambiguous…
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura +1
Dynamic facial expression recognition (DFER) is an important task in the field of computer vision. To apply automatic DFER in practice, it is necessary to accurately recognize ambi…
Action Units Recognition by Pairwise Deep Architecture
Junya Saito, Ryosuke Kawamura, Akiyoshi Uchida +5
In this paper, we propose a new automatic Action Units (AUs) recognition method used in a competition, Affective Behavior Analysis in-the-wild (ABAW). Our method tackles a problem…
A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wild
Sachihiro Youoku, Yuushi Toyoda, Takahisa Yamamoto +4
Human affective recognition is an important factor in human-computer interaction. However, the method development with in-the-wild data is not yet accurate enough for practical usa…