236 citations · 273 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
CARNet:Compression Artifact Reduction for Point Cloud Attribute
Dandan Ding, Junzhe Zhang, Jianqiang Wang +1
A learning-based adaptive loop filter is developed for the Geometry-based Point Cloud Compression (G-PCC) standard to reduce attribute compression artifacts. The proposed method fi…
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…
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li +3
This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method…
Global Correlation Network: End-to-End Joint Multi-Object Detection and Tracking
Xuewu Lin, Yu-ang Guo, Jianqiang Wang
Multi-object tracking (MOT) has made great progress in recent years, but there are still some problems. Most MOT algorithms follow tracking-by-detection framework, which separates…
Learned Point Cloud Geometry Compression
Jianqiang Wang, Hao Zhu, Zhan Ma +3
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep…