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ACM Multimedia 2025Grand Challenges

MAC 2025: The 2nd Micro-Action Analysis Grand Challenge

Kun Li 0008, Dan Guo 0001, Xiaobai Li, Haoyu Chen 0001, Pengyu Liu 0005, Fei Wang 0073, Jingjing Hu, Guoying Zhao 0001, Meng Wang 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3762086 ↗

摘要

Micro-Actions (MAs) are a crucial form of non-verbal communication in social interactions, with promising applications in human emotion analysis. Although the topic has attracted considerable research interest, progress has been hindered by the lack of publicly available benchmark datasets. To address this gap, the Micro-Action Analysis Grand Challenge (MAC) is organized annually. This paper presents an overview of the 2nd Micro-Action Analysis Grand Challenge, held in conjunction with ACM Multimedia 2025. We provide a comprehensive summary of the challenge, including its dataset, evaluation protocol, results, and discussion. The top-ranked solutions are highlighted to offer valuable insights for researchers, and potential future directions are outlined to guide ongoing developments in this area. The goal of this grand challenge is to foster innovative research in micro-action analysis and advance research in the human-centric action understanding community.