activity
20202024
most citedJA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention

155 citations · 175 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2024

Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information

Zhilei Liu, Chenggong Zhang

Traditional face super-resolution (FSR) methods trained on synthetic datasets usually have poor generalization ability for real-world face images. Recent work has utilized complex…

cs.CV2023

Self-supervised Facial Action Unit Detection with Region and Relation Learning

Juan Song, Zhilei Liu

Facial action unit (AU) detection is a challenging task due to the scarcity of manual annotations. Recent works on AU detection with self-supervised learning have emerged to addres…

cs.CV2022★ 5 cited

Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors

Chenggong Zhang, Zhilei Liu

The face super-resolution (FSR) task is to reconstruct high-resolution face images from low-resolution inputs. Recent works have achieved success on this task by utilizing facial p…

cs.CV2022★ 2 cited

Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling

Jiyuan Cao, Zhilei Liu, Yong Zhang

Facial Action Unit (AU) detection is a crucial task for emotion analysis from facial movements. The apparent differences of different subjects sometimes mislead changes brought by…

cs.CV2022

Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion

Sen Chen, Zhilei Liu, Jiaxing Liu +1

Talking head generation is to synthesize a lip-synchronized talking head video by inputting an arbitrary face image and corresponding audio clips. Existing methods ignore not only…

cs.CV2021★ 10 cited

Talking Head Generation with Audio and Speech Related Facial Action Units

Sen Chen, Zhilei Liu, Jiaxing Liu +2

The task of talking head generation is to synthesize a lip synchronized talking head video by inputting an arbitrary face image and audio clips. Most existing methods ignore the lo…

cs.CV2021★ 3 cited

Action Unit Detection with Joint Adaptive Attention and Graph Relation

Chenggong Zhang, Juan Song, Qingyang Zhang +3

This paper describes an approach to the facial action unit (AU) detection. In this work, we present our submission to the Field Affective Behavior Analysis (ABAW) 2021 competition.…

cs.CV2020

Teacher-Student Competition for Unsupervised Domain Adaptation

Ruixin Xiao, Zhilei Liu, Baoyuan Wu

With the supervision from source domain only in class-level, existing unsupervised domain adaptation (UDA) methods mainly learn the domain-invariant representations from a shared f…

cs.CV2020★ 155 cited

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…