5 papers
Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
Qihao Shen, Jiaxing Xuan, Zhenguang Liu +5
Advanced deepfake technologies are blurring the lines between real and fake, presenting both revolutionary opportunities and alarming threats. While it unlocks novel applications i…
Multi-Grained Feature Pruning for Video-Based Human Pose Estimation
Zhigang Wang, Shaojing Fan, Zhenguang Liu +3
Human pose estimation, with its broad applications in action recognition and motion capture, has experienced significant advancements. However, current Transformer-based methods fo…
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
Yingying Jiao, Zhigang Wang, Sifan Wu +4
Human pose estimation in videos remains a challenge, largely due to the reliance on extensive manual annotation of large datasets, which is expensive and labor-intensive. Furthermo…
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
Yingying Jiao, Zhigang Wang, Zhenguang Liu +4
Human pose estimation has given rise to a broad spectrum of novel and compelling applications, including action recognition, sports analysis, as well as surveillance. However, accu…
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang +4
Video-based human pose estimation has long been a fundamental yet challenging problem in computer vision. Previous studies focus on spatio-temporal modeling through the enhancement…