1 citations · 1 across the 2 of their papers we have counts for
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V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition
JunGyu Lee, Kunyoung Lee, Haesol Park +2
Facial Expression Recognition (FER) plays a crucial role in human affective analysis and has been widely applied in computer vision tasks such as human-computer interaction and psy…
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
JunGyu Lee, Yeji Choi, Haksub Kim +2
Facial expression recognition (FER) remains a challenging task due to label ambiguity caused by the subjective nature of facial expressions and noisy samples. Additionally, class i…
IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-Labels
Minsoo Kim, Gi Pyo Nam, Haksub Kim +2
In the realm of face image quality assesment (FIQA), method based on sample relative classification have shown impressive performance. However, the quality scores used as pseudo-la…
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition
Minsoo Kim, Min-Cheol Sagong, Gi Pyo Nam +2
Deep learning-based face recognition continues to face challenges due to its reliance on huge datasets obtained from web crawling, which can be costly to gather and raise significa…