4 papers
Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation
Jiexin Wang, Wenwen Qiang, Zhao Yang +1
Expressive representation of pose sequences is crucial for accurate motion modeling in human motion prediction (HMP). While recent deep learning-based methods have shown promise in…
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
Zichen Liu, Kunlun Xu, Bing Su +3
Pre-trained on tremendous image-text pairs, vision-language models like CLIP have demonstrated promising zero-shot generalization across numerous image-based tasks. However, extend…
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
Jiexin Wang, Yiju Guo, Bing Su
Human motion prediction (HMP) involves forecasting future human motion based on historical data. Graph Convolutional Networks (GCNs) have garnered widespread attention in this fiel…
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction
Jiexin Wang, Yiju Guo, Bing Su
Exploring the bridge between historical and future motion behaviors remains a central challenge in human motion prediction. While most existing methods incorporate a reconstruction…