most citedFacial Affective Behavior Analysis Method for 5th ABAW Competition

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 8 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022

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…

cs.CV2022★ 2 cited

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…

eess.IV2022

Defocus Deblur Microscopy via Head-to-Tail Cross-scale Fusion

Jiahe Wang, Boran Han

Microscopy imaging is vital in biology research and diagnosis. When imaging at the scale of cell or molecule level, mechanical drift on the axial axis can be difficult to correct.…