XINJI MAI / RESEARCH研究

Observe finer to select better: Learning key frame extraction via semantic coherence for dynamic facial expression recognition in the wildObserve finer to select better: Learning key frame extraction via semantic coherence for dynamic facial expression recognition in the wild

Information Sciences 20252025

Shaoqi Yan, Yan Wang, Xinji Mai, Zeng Tao, Wei Song, Qing Zhao, Boyang Wang, Haoran Wang, Shuyong Gao, Wenqiang Zhang

KFE-SC method overview with panels (a) KFE-SC, (b) Global-Local Feature Assembling, (c) Temporal Alignment Aggregation

Figure from the 图片来源:author’s project page作者项目页面 ↗

KFE-SC selects expressive video frames from coarse to fine by combining spatial semantic coherence with aligned short- and long-term temporal features.

KFE-SC 结合空间语义一致性与长短期时序特征对齐,以由粗到细的方式筛选表情关键帧。

Shaoqi Yan, Yan Wang, Xinji Mai, Zeng Tao, Wei Song, Qing Zhao, Boyang Wang, Haoran Wang, Shuyong Gao, Wenqiang Zhang. "Observe finer to select better: Learning key frame extraction via semantic coherence for dynamic facial expression recognition in the wild." Information Sciences 2025. https://doi.org/10.1016/j.ins.2024.121415