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20172020
most citedDeep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

164 citations · 423 across the 10 of their papers we have counts for

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Showing cs.CVShow all

8 papers · 1 filter

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.CV2020★ 5 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.CV2019★ 16 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.CV2019★ 87 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.CV2019★ 16 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★ 96 cited

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…

cs.CV2018★ 30 cited

Conditional Adversarial Synthesis of 3D Facial Action Units

Zhilei Liu, Guoxian Song, Jianfei Cai +2

Employing deep learning-based approaches for fine-grained facial expression analysis, such as those involving the estimation of Action Unit (AU) intensities, is difficult due to th…

cs.CV2018★ 164 cited

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

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 meaning…