65 citations · 104 across the 8 of their papers we have counts for
8 papers · 1 filter
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…
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…
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
Zhimeng Zhang, Zhipeng Hu, Wenjin Deng +3
For few-shot learning, it is still a critical challenge to realize photo-realistic face visually dubbing on high-resolution videos. Previous works fail to generate high-fidelity du…
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…
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…
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…
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
Lincheng Li, Suzhen Wang, Zhimeng Zhang +4
In this paper, we propose a novel text-based talking-head video generation framework that synthesizes high-fidelity facial expressions and head motions in accordance with contextua…
Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project
Zhimeng Zhang, Jianan Wu, Xuan Zhang +1
Although many methods perform well in single camera tracking, multi-camera tracking remains a challenging problem with less attention. DukeMTMC is a large-scale, well-annotated mul…