35 citations · 65 across the 21 of their papers we have counts for
5 papers · 2 filters
A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition
Shaojie Zhang, Jianqin Yin, Yonghao Dang
Skeleton-based action recognition is a central task in computer vision and human-robot interaction. However, most previous methods suffer from overlooking the explicit exploitation…
BiHRNet: A Binary high-resolution network for Human Pose Estimation
Zhicheng Zhang, Xueyao Sun, Yonghao Dang +1
Human Pose Estimation (HPE) plays a crucial role in computer vision applications. However, it is difficult to deploy state-of-the-art models on resouce-limited devices due to the h…
SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition
Shaojie Zhang, Jianqin Yin, Yonghao Dang +1
Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition. However, previous GCN-based methods rely on elaborate human priors exce…
Physics-constrained Attack against Convolution-based Human Motion Prediction
Chengxu Duan, Zhicheng Zhang, Xiaoli Liu +2
Human motion prediction has achieved a brilliant performance with the help of convolution-based neural networks. However, currently, there is no work evaluating the potential risk…
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
Jiajun Fu, Yonghao Dang, Ruoqi Yin +4
This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop. In this chal…