6 citations · 18 across the 4 of their papers we have counts for
4 papers
Multi-modal Affect Analysis using standardized data within subjects in the Wild
Sachihiro Youoku, Takahisa Yamamoto, Junya Saito +7
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…
Action Units Recognition Using Improved Pairwise Deep Architecture
Junya Saito, Xiaoyu Mi, Akiyoshi Uchida +4
Facial Action Units (AUs) represent a set of facial muscular activities and various combinations of AUs can represent a wide range of emotions. AU recognition is often used in many…
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…