Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shaoyuan Lu"'
Publikováno v:
Frontiers in Psychology, Vol 12 (2022)
Facial expressions are a vital way for humans to show their perceived emotions. It is convenient for detecting and recognizing expressions or micro-expressions by annotating a lot of data in deep learning. However, the study of video-based expression
Externí odkaz:
https://doaj.org/article/65a359cf7f7a4603b080bcb2553d9bf2
Publikováno v:
Pattern Recognition Letters. 164:30-39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c220519ffd2944ef95396850f933f310
https://doi.org/10.1016/j.patrec.2022.10.008
https://doi.org/10.1016/j.patrec.2022.10.008
Publikováno v:
Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8e1794360b99bdc74da4b6001502d9
https://doi.org/10.1145/3552465.3555038
https://doi.org/10.1145/3552465.3555038
Autor:
Jingting, Li, Zizhao, Dong, Shaoyuan, Lu, Su-Jing, Wang, Wen-Jing, Yan, Yinhuan, Ma, Ye, Liu, Changbing, Huang, Xiaolan, Fu
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Micro-expression (ME) is a significant non-verbal communication clue that reveals one person's genuine emotional state. The development of micro-expression analysis (MEA) has just gained attention in the last decade. However, the small sample size pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bbe52d31e01c65f3b02d30b12d056558
https://pubmed.ncbi.nlm.nih.gov/35560102
https://pubmed.ncbi.nlm.nih.gov/35560102
Publikováno v:
Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting.
Facial expressions are an important way for humans to perceive emotions. The advent of facial action coding systems has enabled the quantification of facial expressions. Moreover, a large amount of annotated data facilitates the performance of deep l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18afd61bda9600b9a37089fe47563c8
https://doi.org/10.1145/3476100.3484464
https://doi.org/10.1145/3476100.3484464
Autor:
Jingting Li, Zizhao Dong, Shaoyuan Lu, Su-Jing Wang, Wen-Jing Yan, Yinhuan Ma, Ye Liu, Changbing Huang, Xiaolan Fu
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f457db6ebb74dd32316d70e59566f0d7
https://doi.org/10.1109/tpami.2022.3174895
https://doi.org/10.1109/tpami.2022.3174895