3 papers
eess.IV2026
D-Compress: Detail-Preserving LiDAR Range Image Compression for Real-Time Streaming on Resource-Constrained Robots
Shengqian Wang, Chang Tu, He Chen
Efficient 3D LiDAR point cloud compression (LPCC) and streaming are critical for edge server-assisted robotic systems, enabling real-time communication with compact data representa…
cs.CV2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling
Yawei Li, He Chen, Zhaopeng Cui +4
In this paper, we aim at improving the computational efficiency of graph convolutional networks (GCNs) for learning on point clouds. The basic graph convolution that is typically c…
cs.CV2019
Curvature: A signature for Action Recognition in Video Sequences
He Chen, Gregory S. Chirikjian
In this paper, a novel signature of human action recognition, namely the curvature of a video sequence, is introduced. In this way, the distribution of sequential data is modeled,…