Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Region Adaptive Self-Attention for an Accurate Facial Emotion Recognition

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Seongmin-
dc.contributor.authorLee, Jeonghaeng-
dc.contributor.authorKim, Minsik-
dc.contributor.authorLee, Sanghoon-
dc.date.accessioned2023-10-17T02:40:08Z-
dc.date.available2023-10-17T02:40:08Z-
dc.date.issued2022-11-09-
dc.identifier.urihttps://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6733-
dc.titleRegion Adaptive Self-Attention for an Accurate Facial Emotion Recognition-
dc.typeConference-
dc.identifier.doi10.23919/APSIPAASC55919.2022.9980100-
dc.citation.titleProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022-
dc.citation.startPage791-
dc.citation.endPage796-
dc.citation.conferenceNameProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022-
dc.citation.conferencePlace태국-
dc.citation.conferenceDate2022-11-07 ~ 2022-11-10-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > 공과대학 전기전자공학부 > 공과대학 전기전자공학과 > 3. Conference Papers

qrcode

Items in Scholar Hub are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Seongmin photo

Lee, Seongmin
공과대학 전기전자공학과
Read more

Altmetrics

Total Views & Downloads

BROWSE