activity
20212024
most citedPrior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

24 citations · 38 across the 13 of their papers we have counts for

collaborators

13 papers

cs.GR2024★ 2 cited

FreeAvatar: Robust 3D Facial Animation Transfer by Learning an Expression Foundation Model

Feng Qiu, Wei Zhang, Chen Liu +6

Video-driven 3D facial animation transfer aims to drive avatars to reproduce the expressions of actors. Existing methods have achieved remarkable results by constraining both geome…

cs.CV2024★ 1 cited

Norface: Improving Facial Expression Analysis by Identity Normalization

Hanwei Liu, Rudong An, Zhimeng Zhang +6

Facial Expression Analysis remains a challenging task due to unexpected task-irrelevant noise, such as identity, head pose, and background. To address this issue, this paper propos…

cs.CV2024

Affective Behaviour Analysis via Progressive Learning

Chen Liu, Wei Zhang, Feng Qiu +2

Affective Behavior Analysis aims to develop emotionally intelligent technology that can recognize and respond to human emotions. To advance this field, the 7th Affective Behavior A…

cs.CV2024★ 2 cited

Affective Behaviour Analysis via Integrating Multi-Modal Knowledge

Wei Zhang, Feng Qiu, Chen Liu +4

Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…

cs.CV2024

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation

Renshuai Liu, Bowen Ma, Wei Zhang +5

In human-centric content generation, the pre-trained text-to-image models struggle to produce user-wanted portrait images, which retain the identity of individuals while exhibiting…

cs.CV2023★ 1 cited

FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping

Yu Zhang, Hao Zeng, Bowen Ma +5

This work proposes a novel face-swapping framework FlowFace++, utilizing explicit semantic flow supervision and end-to-end architecture to facilitate shape-aware face-swapping. Spe…

cs.CV2023

Multi-modal Facial Affective Analysis based on Masked Autoencoder

Wei Zhang, Bowen Ma, Feng Qiu +1

Human affective behavior analysis focuses on analyzing human expressions or other behaviors to enhance the understanding of human psychology. The CVPR 2023 Competition on Affective…

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★ 6 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.CV2022★ 1 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.CV2022★ 1 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.CV2021★ 24 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…