activity
20172020
most citedRelation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

87 citations · 125 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2020

Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning

Zhilei Liu, Yunpeng Wu, Le Li +2

Previous research on face restoration often focused on repairing a specific type of low-quality facial images such as low-resolution (LR) or occluded facial images. However, in the…

cs.CV20205 cited

Controllable Descendant Face Synthesis

Yong Zhang, Le Li, Zhilei Liu +3

Kinship face synthesis is an interesting topic raised to answer questions like "what will your future children look like?". Published approaches to this topic are limited. Most of…

cs.CV201916 cited

Facial Expression Restoration Based on Improved Graph Convolutional Networks

Zhilei Liu, Le Li, Yunpeng Wu +1

Facial expression analysis in the wild is challenging when the facial image is with low resolution or partial occlusion. Considering the correlations among different facial local r…

cs.CV201987 cited

Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

Zhilei Liu, Jiahui Dong, Cuicui Zhang +2

Most existing AU detection works considering AU relationships are relying on probabilistic graphical models with manually extracted features. This paper proposes an end-to-end deep…

cs.CV201916 cited

Region Based Adversarial Synthesis of Facial Action Units

Zhilei Liu, Diyi Liu, Yunpeng Wu

Facial expression synthesis or editing has recently received increasing attention in the field of affective computing and facial expression modeling. However, most existing facial…

cs.CV2018

Facial Action Unit Detection Using Attention and Relation Learning

Zhiwen Shao, Zhilei Liu, Jianfei Cai +2

Attention mechanism has recently attracted increasing attentions in the field of facial action unit (AU) detection. By finding the region of interest of each AU with the attention…