activity
20202022
most citedPrior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

24 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

FlowFace: Semantic Flow-guided Shape-aware Face Swapping

Hao Zeng, Wei Zhang, Changjie Fan +7

In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace. Unlike most previous methods that focus on transferring the sour…

cs.CV2022

Facial Action Units Detection Aided by Global-Local Expression Embedding

Zhipeng Hu, Wei Zhang, Lincheng Li +4

Since Facial Action Unit (AU) annotations require domain expertise, common AU datasets only contain a limited number of subjects. As a result, a crucial challenge for AU detection…

cs.CV20219 cited

Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion

Suzhen Wang, Lincheng Li, Yu Ding +2

We propose an audio-driven talking-head method to generate photo-realistic talking-head videos from a single reference image. In this work, we tackle two key challenges: (i) produc…

cs.CV202124 cited

Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

Wei Zhang, Zunhu Guo, Keyu Chen +3

Automatic affective recognition has been an important research topic in human computer interaction (HCI) area. With recent development of deep learning techniques and large scale i…

cs.CV20204 cited

Multi-label Relation Modeling in Facial Action Units Detection

Xianpeng Ji, Yu Ding, Lincheng Li +2

This paper describes an approach to the facial action units detections. The involved action units (AU) include AU1 (Inner Brow Raiser), AU2 (Outer Brow Raiser), AU4 (Brow Lowerer),…