activity
20172022
most citedMulti-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project

65 citations · 90 across the 4 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.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…

cs.CV2021

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…

cs.CV201765 cited

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…