@inproceedings{40b397a834654f8c80cbf55c719d3f2c,
title = "MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge",
abstract = "Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.",
keywords = "generation, micro-expression, spotting",
author = "Jingting Li and Yap, \{Moi Hoon\} and Cheng, \{Wen Huang\} and John See and Xiaopeng Hong and Xiaobai Li and Wang, \{Su Jing\} and Davison, \{Adrian K.\} and Yante Li and Zizhao Dong",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 30th ACM International Conference on Multimedia, MM 2022 ; Conference date: 10-10-2022 Through 14-10-2022",
year = "2022",
month = oct,
day = "10",
doi = "10.1145/3503161.3551601",
language = "英语",
series = "MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia",
publisher = "Association for Computing Machinery, Inc",
pages = "7170--7174",
booktitle = "MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia",
}