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

24 citations · 32 across the 6 of their papers we have counts for

collaborators

6 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.CV20226 cited

Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation

Bowen Ma, Rudong An, Wei Zhang +6

As a fine-grained and local expression behavior measurement, facial action unit (FAU) analysis (e.g., detection and intensity estimation) has been documented for its time-consuming…

cs.CV20221 cited

Global-to-local Expression-aware Embeddings for Facial Action Unit Detection

Rudong An, Wei Zhang, Hao Zeng +3

Expressions and facial action units (AUs) are two levels of facial behavior descriptors. Expression auxiliary information has been widely used to improve the AU detection performan…

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.CV20221 cited

Transformer-based Multimodal Information Fusion for Facial Expression Analysis

Wei Zhang, Feng Qiu, Suzhen Wang +5

Human affective behavior analysis has received much attention in human-computer interaction (HCI). In this paper, we introduce our submission to the CVPR 2022 Competition on Affect…

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…