MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
10
Authors
Li, Jingting; Yap, Moi Hoon; Cheng, Wen-Huang; See, John; Hong, Xiaopeng; Li, Xiaobai; Wang, Su-Jing; Davison, Adrian K.; Li, Yante; Dong, Zizhao

Publication channel information

Title of host publication
MM ’22 Proceedings of the 30th ACM International Conference on Multimedia
Editors of host publication
Magalhães, João; del Bimbo, Alberto; Satoh, Shin'ichi; Sebe, Nicu
ISBN (print)
978-1-4503-9203-7
Name of conference
ACM Multimedia
Publisher
ACM
Publication forum ID
50101
Publication forum level
2
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2022
Reporting year
2022
Page numbers
7170-7174
DOI
10.1145/3503161.3551601
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202403212357

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Micro-Expression; Spotting; Generation

Funding information

Funding information in the publication
This work is supported by grants from the National Natural Science Foundation of China (62106256, U19B2032), the Academy of Finland (Grant 323287), The Manchester Metropolitan University VC PhD Studentship, and Ministry of Science and Technology of Taiwan (MOST-109-2223-E-009-002-MY3, MOST-110-2634-F-007-015).

Source database ID

WoS ID
WOS:001150372707040
Scopus ID
2-s2.0-85151127078