1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition
Shannan Guan, Xin Yu, Wei Huang +2
In this work, we propose a new Dual Min-Max Games (DMMG) based self-supervised skeleton action recognition method by augmenting unlabeled data in a contrastive learning framework.…
cs.CV2022★ 1 cited
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement
Shannan Guan, Haiyan Lu, Linchao Zhu +1
Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs. However, such me…
cs.CV2022
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
Shannan Guan, Haiyan Lu, Linchao Zhu +1
3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D p…