← 返回论文检索
ACM Multimedia 2024Grand Challenges

MAC 2024: Micro-Action Analysis Grand Challenge

Dan Guo 0001, Xiaobai Li, Kun Li 0008, Haoyu Chen 0001, Jingjing Hu, Guoying Zhao 0001, Yi Yang 0001, Meng Wang 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3664647.3688973 ↗

摘要

This is the overview paper for the Micro-Action Analysis Grand Challenge hosted at ACM Multimedia 2024. In recent years, a growing trend towards deeper understanding of human emotional states has led to a gradual shift in the attention of multimedia and computer vision researchers from macro facial expressions to whole-body micro-actions. Micro-actions are spontaneous body movements that indicate a person's true feelings and potential intentions. Yet, recognizing, distinguishing, and understanding micro-actions is challenging because they are subtle compared to normal actions. This grand challenge aims to foster innovative research in micro-action analysis and provide benchmark evaluations to advance the technology in the human-centric action understanding community.