3 citations · 7 across the 4 of their papers we have counts for
4 papers
Learning to Read Analog Gauges from Synthetic Data
Juan Leon-Alcazar, Yazeed Alnumay, Cheng Zheng +3
Manually reading and logging gauge data is time inefficient, and the effort increases according to the number of gauges available. We present a computer vision pipeline that automa…
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification
Lifa Zhu, Changwei Lin, Chen Zheng +1
Great progress has been made in point cloud classification with learning-based methods. However, complex scene and sensor inaccuracy in real-world application make point cloud data…
Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels
Bing Li, Cheng Zheng, Guohao Li +1
We propose a novel scene flow method that captures 3D motions from point clouds without relying on ground-truth scene flow annotations. Due to the irregularity and sparsity of poin…
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li, Cheng Zheng, Silvio Giancola +1
We propose a novel scene flow estimation approach to capture and infer 3D motions from point clouds. Estimating 3D motions for point clouds is challenging, since a point cloud is u…