Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yingruo Fan"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Understanding demographic difference in facial expression of happiness has crucial implications on social communication. However, prior research on facial emotion expression has mostly focused on the effect of a single demographic factor (ty
Externí odkaz:
https://doaj.org/article/a63a07ff9e354b63988fb3fe7f4d69ae
Publikováno v:
IEEE Transactions on Affective Computing. 13:1057-1071
Facial expression recognition (FER) is crucial for social communication. However, current studies present limitations when addressing facial expression difference due to demographic variation, e.g., race, gender, and age, etc. In this study, we first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4f15c22746d83ab516f2d1e9efcda7
https://doi.org/10.1109/taffc.2020.2988264
https://doi.org/10.1109/taffc.2020.2988264
Facial emotions are expressed through a combination of facial muscle movements, namely, the Facial Action Units (FAUs). FAU intensity estimation aims to estimate the intensity of a set of structurally dependent FAUs. Contrary to the existing works th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca20d36c079dce41d9f09355fa5c9296
https://doi.org/10.36227/techrxiv.14157080.v1
https://doi.org/10.36227/techrxiv.14157080.v1
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Understanding demographic difference in facial expression of happiness has crucial implications on social communication. However, prior research on facial emotion expression has mostly focused on the effect of a single demographic factor (typically g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1c3fb6c6d7db5c6490edb15d47852e
https://pubmed.ncbi.nlm.nih.gov/33664365
https://pubmed.ncbi.nlm.nih.gov/33664365
Autor:
Yingruo Fan, Zhaojiang Lin
Publikováno v:
IJCAI
Facial action unit (AU) intensity estimation aims to measure the intensity of different facial muscle movements. The external knowledge such as AU co-occurrence relationship is typically leveraged to improve performance. However, the AU characteristi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58c463a5fd81c4b188448da90e611994
https://doi.org/10.24963/ijcai.2020/102
https://doi.org/10.24963/ijcai.2020/102
Publikováno v:
AAAI
The intensity estimation of facial action units (AUs) is challenging due to subtle changes in the person's facial appearance. Previous approaches mainly rely on probabilistic models or predefined rules for modeling co-occurrence relationships among A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e326cd249d8b65cb09cc6981c11f297
Publikováno v:
IEEE BigData
Cross-dataset facial emotion recognition (FER) aims to reduce the discrepancy between the source and the target facial database. The topic is very challenging in FER, where facial features differ across different domains, such as ethnicity, age, gend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf8ed2a63d0bffbad395d8631d526c7
https://doi.org/10.1109/bigdata.2018.8622514
https://doi.org/10.1109/bigdata.2018.8622514
Publikováno v:
IEEE Transactions on Affective Computing. :1-1
Facial emotions are expressed through a combination of facial muscle movements, namely, the Facial Action Units (FAUs). FAU intensity estimation aims to estimate the intensity of a set of structurally dependent FAUs. Contrary to the existing works th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756e4b9fc31c7920b25ce4ff6b2e0e55
https://doi.org/10.1109/taffc.2021.3129065
https://doi.org/10.1109/taffc.2021.3129065
Publikováno v:
ICMI
Emotion recognition (ER) based on natural facial images/videos has been studied for some years and considered a comparatively hot topic in the field of affective computing. However, it remains a challenge to perform ER in the wild, given the noises g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c15ae879e781372bb458067f00d7af27
https://doi.org/10.1145/3242969.3264978
https://doi.org/10.1145/3242969.3264978
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014179
ICANN (1)
ICANN (1)
Facial expressions play an important role in conveying the emotional states of human beings. Recently, deep learning approaches have been applied to image recognition field due to the discriminative power of Convolutional Neural Network (CNN). In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf9665ce20ead2e2384cb132ee2aa1e
https://doi.org/10.1007/978-3-030-01418-6_9
https://doi.org/10.1007/978-3-030-01418-6_9