1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
Chao Chen, Yu-Shen Liu, Zhizhong Han
Learning implicit representations has been a widely used solution for surface reconstruction from 3D point clouds. The latest methods infer a distance or occupancy field by overfit…
eess.IV2021
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo +38
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual…
cs.CV2018
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions
Weikai Chen, Xiaoguang Han, Guanbin Li +4
Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its ext…