8 citations · 13 across the 8 of their papers we have counts for
8 papers
A Novel FACS-Aligned Anatomical Text Description Paradigm for Fine-Grained Facial Behavior Synthesis
Jiahe Wang, Cong Liang, Xuandong Huang +5
Facial behavior constitutes the primary medium of human nonverbal communication. Existing synthesis methods predominantly follow two paradigms: coarse emotion category labels or on…
MEDIC: A Multimodal Empathy Dataset in Counseling
Zhou'an_Zhu, Xin Li, Jicai Pan +4
Although empathic interaction between counselor and client is fundamental to success in the psychotherapeutic process, there are currently few datasets to aid a computational appro…
Emotional Reaction Intensity Estimation Based on Multimodal Data
Shangfei Wang, Jiaqiang Wu, Feiyi Zheng +6
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-w…
Facial Affective Behavior Analysis Method for 5th ABAW Competition
Shangfei Wang, Yanan Chang, Yi Wu +5
Facial affective behavior analysis is important for human-computer interaction. 5th ABAW competition includes three challenges from Aff-Wild2 database. Three common facial affectiv…
Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge
Yanan Chang, Yi Wu, Xiangyu Miao +2
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 c…
Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge
Xiangyu Miao, Jiahe Wang, Yanan Chang +2
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 t…
Facial Action Unit Recognition Based on Transfer Learning
Shangfei Wang, Yanan Chang, Jiahe Wang
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 challengin…
Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
Shangfei Wang, Yanan Chang, Guozhu Peng +1
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 imp…