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cs.CV2025
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
Sehyeong Jo, Gangjae Jang, Haesol Park
The Vision Transformer (ViT) has made significant advancements in computer vision, utilizing self-attention mechanisms to achieve state-of-the-art performance across various tasks,…
cs.CV2025
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…