164 citations · 761 across the 22 of their papers we have counts for
5 papers · 2 filters
Fine-Grained Expression Manipulation via Structured Latent Space
Junshu Tang, Zhiwen Shao, Lizhuang Ma
Fine-grained facial expression manipulation is a challenging problem, as fine-grained expression details are difficult to be captured. Most existing expression manipulation methods…
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection
Habtamu Fanta, Zhiwen Shao, Lizhuang Ma
Abnormality detection is a challenging task due to the dependence on a specific context and the unconstrained variability of practical scenarios. In recent years, it has benefited…
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition
Yuedong Chen, Guoxian Song, Zhiwen Shao +3
Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroug…
JA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
Zhiwen Shao, Zhilei Liu, Jianfei Cai +1
Facial action unit (AU) detection and face alignment are two highly correlated tasks, since facial landmarks can provide precise AU locations to facilitate the extraction of meanin…
Facial Action Unit Detection via Adaptive Attention and Relation
Zhiwen Shao, Yong Zhou, Jianfei Cai +2
Facial action unit (AU) detection is challenging due to the difficulty in capturing correlated information from subtle and dynamic AUs. Existing methods often resort to the localiz…