MAC 2024: Micro-Action Analysis Grand Challenge
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.
Authors
- Yi Yang (ORCID: https://orcid.org/0000-0002-0512-880X)
- Dan Guo (ORCID: https://orcid.org/0000-0003-2594-254X)
- Guoying Zhao (ORCID: https://orcid.org/0000-0003-3694-206X)
- Meng Wang (ORCID: https://orcid.org/0000-0002-3094-7735)
- Kun Li (ORCID: https://orcid.org/0000-0001-5083-2145)
- Haoyu Chen (ORCID: https://orcid.org/0000-0003-3267-2664)
- Jingjing Hu (ORCID: https://orcid.org/0009-0003-6944-0848)
- Xiaobai Li (ORCID: https://orcid.org/0000-0003-4519-7823)
Institutions
- Hefei University of Technology (CN)
- Zhejiang University (CN)
- University of Oulu (FI)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3664647.3688973
- Citations
- 6
- Primary Topic
- Human Pose and Action Recognition
- Type
- article
- Field-Weighted Citation Impact
- 1.50