3 papers
cs.CV2025
Point-Supervised Facial Expression Spotting with Gaussian-Based Instance-Adaptive Intensity Modeling
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Automatic facial expression spotting, which aims to identify facial expression instances in untrimmed videos, is crucial for facial expression analysis. Existing methods primarily…
cs.CV2025
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…
cs.CV2025
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…