Detailed Information

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

OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled VideosOTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

Alternative Title
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos
Authors
Lee, Seong Whan
Issue Date
9-10월-2022
Publisher
Systems, Man, and Cybernetics Society
Citation
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/146201
Conference Name
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Place
CS
Conference Date
2022-10-09
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Lee, Seong Whan photo

Lee, Seong Whan
인공지능학과
Read more

Altmetrics

Total Views & Downloads

BROWSE