693 citations · 2.2k across the 82 of their papers we have counts for
8 papers · 1 filter
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
Maosen Li, Siheng Chen, Xu Chen +3
3D skeleton-based action recognition and motion prediction are two essential problems of human activity understanding. In many previous works: 1) they studied two tasks separately,…
Deterministic and stochastic control of kirigami topology
Siheng Chen, Gary P. T. Choi, L. Mahadevan
Kirigami, the creative art of paper cutting, is a promising paradigm for mechanical metamaterials. However, to make kirigami-inspired structures a reality requires controlling the…
Node Attribute Generation on Graphs
Xu Chen, Siheng Chen, Huangjie Zheng +4
Graph structured data provide two-fold information: graph structures and node attributes. Numerous graph-based algorithms rely on both information to achieve success in supervised…
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
Siheng Chen, Sufeng. Niu, Tian Lan +1
We present a novel graph-neural-network-based system to effectively represent large-scale 3D point clouds with the applications to autonomous driving. Many previous works studied t…
Handwritten Chinese Font Generation with Collaborative Stroke Refinement
Chuan Wen, Jie Chang, Ya Zhang +4
Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters. This task has t…
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
Siheng Chen, Chaojing Duan, Yaoqing Yang +3
We propose a deep autoencoder with graph topology inference and filtering to achieve compact representations of unorganized 3D point clouds in an unsupervised manner. Many previous…
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
Maosen Li, Siheng Chen, Xu Chen +3
Action recognition with skeleton data has recently attracted much attention in computer vision. Previous studies are mostly based on fixed skeleton graphs, only capturing local phy…
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan, Siheng Chen, Jelena Kovacevic
We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algori…