4 citations · 5 across the 4 of their papers we have counts for
5 papers · 1 filter
Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction
Wei Wei, Yinyuan Zhao, Ruixuan Yu
3D multi-person motion prediction requires modeling both individual kinematics and inter-person interactions. While Flow Matching is effective for multi-hypothesis generation to im…
Efficient Multi-Person Motion Prediction by Lightweight Spatial and Temporal Interactions
Yuanhong Zheng, Ruixuan Yu, Jian Sun
3D multi-person motion prediction is a highly complex task, primarily due to the dependencies on both individual past movements and the interactions between agents. Moreover, effec…
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu, Xin Wei, Federico Tombari +1
In this paper we propose a rotation-invariant deep network for point clouds analysis. Point-based deep networks are commonly designed to recognize roughly aligned 3D shapes based o…
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
Xin Wei, Ruixuan Yu, Jian Sun
View-based approach that recognizes 3D shape through its projected 2D images achieved state-of-the-art performance for 3D shape recognition. One essential challenge for view-based…
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
Ruixuan Yu, Jian Sun, Huibin Li
Designing a network on 3D surface for non-rigid shape analysis is a challenging task. In this work, we propose a novel spectral transform network on 3D surface to learn shape descr…