Zobrazeno 1 - 10
of 347
pro vyhledávání: '"CHANG YaNan"'
Although empathic interaction between counselor and client is fundamental to success in the psychotherapeutic process, there are currently few datasets to aid a computational approach to empathy understanding. In this paper, we construct a multimodal
Externí odkaz:
http://arxiv.org/abs/2305.02842
Autor:
Wang, Shangfei, Wu, Jiaqiang, Zheng, Feiyi, Li, Xin, Li, Xuewei, Wang, Suwen, Wu, Yi, Chang, Yanan, Miao, Xiangyu
This paper introduces our method for the Emotional Reaction Intensity (ERI) Estimation Challenge, in CVPR 2023: 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW). Based on the multimodal data provided by the originazers,
Externí odkaz:
http://arxiv.org/abs/2303.09167
Autor:
Wang, Shangfei, Chang, Yanan, Wu, Yi, Miao, Xiangyu, Wu, Jiaqiang, Zhu, Zhouan, Wang, Jiahe, Xiao, Yufei
Facial affective behavior analysis is important for human-computer interaction. 5th ABAW competition includes three challenges from Aff-Wild2 database. Three common facial affective analysis tasks are involved, i.e. valence-arousal estimation, expres
Externí odkaz:
http://arxiv.org/abs/2303.09145
Facial valence/arousal, expression and action unit are related tasks in facial affective analysis. However, the tasks only have limited performance in the wild due to the various collected conditions. The 4th competition on affective behavior analysi
Externí odkaz:
http://arxiv.org/abs/2207.09716
Learning from synthetic images plays an important role in facial expression recognition task due to the difficulties of labeling the real images, and it is challenging because of the gap between the synthetic images and real images. The fourth Affect
Externí odkaz:
http://arxiv.org/abs/2207.09661
Facial action unit recognition is an important task for facial analysis. Owing to the complex collection environment, facial action unit recognition in the wild is still challenging. The 3rd competition on affective behavior analysis in-the-wild (ABA
Externí odkaz:
http://arxiv.org/abs/2203.14694
Publikováno v:
In Genomics September 2024 116(5)
Autor:
Chang, Yanan *, Liu, Junxian *, Liu, Chang *, Liu, Huiyun, Tang, Huali, Qiu, Yuliang, Lin, Zhishan, Wang, Ke, Yan, Yueming, Ye, Xingguo
Publikováno v:
In Journal of Integrative Agriculture June 2024 23(6):1839-1849
Publikováno v:
In Pattern Recognition June 2024 150
Current works formulate facial action unit (AU) recognition as a supervised learning problem, requiring fully AU-labeled facial images during training. It is challenging if not impossible to provide AU annotations for large numbers of facial images.
Externí odkaz:
http://arxiv.org/abs/2106.02258