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cs.CV2026
Multimodal Emotion Recognition via Bi-directional Cross-Attention and Temporal Modeling
Junhyeong Byeon, Jeongyeol Kim, Sejoon Lim
Expression recognition in in-the-wild video data remains challenging due to substantial variations in facial appearance, background conditions, audio noise, and the inherently dyna…
cs.CV2026
Distance-aware Soft Prompt Guidance for Multimodal Valence-Arousal Estimation
Byeongjin Jung, Chanyeong Park, Sejoon Lim
Valence-arousal (VA) estimation is crucial for capturing the nuanced nature of human emotions in naturalistic environments. While pre-trained vision-language models such as CLIP ha…
cs.CV2024
Emotion Recognition Using Transformers with Masked Learning
Seongjae Min, Junseok Yang, Sangjun Lim +3
In recent years, deep learning has achieved innovative advancements in various fields, including the analysis of human emotions and behaviors. Initiatives such as the Affective Beh…