7 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction
Jianqiang Wang, Dandan Ding, Zhan Ma
This work extends the multiscale structure originally developed for point cloud geometry compression to point cloud attribute compression. To losslessly encode the attribute while…
cs.CV2023
Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding
Jianqiang Wang, Dandan Ding, Hao Chen +1
This work extends the Multiscale Sparse Representation (MSR) framework developed for static Point Cloud Geometry Compression (PCGC) to support the dynamic PCGC through the use of m…
cs.CV2022★ 7 cited
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention
Ruixiang Xue, Jianqiang Wang, Zhan Ma
Although convolutional representation of multiscale sparse tensor demonstrated its superior efficiency to accurately model the occupancy probability for the compression of geometry…