236 citations · 273 across the 10 of their papers we have counts for
10 papers
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…
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 Point Cloud Attribute Compression
Jianqiang Wang, Zhan Ma
Recently, numerous learning-based compression methods have been developed with outstanding performance for the coding of the geometry information of point clouds. On the contrary,…
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…
Multiscale Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li +1
Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes. However, it is a challen…
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…
Compressive Sampling for Array Cameras
Xuefei Yan, David J. Brady, Jianqiang Wang +5
While design of high performance lenses and image sensors has long been the focus of camera development, the size, weight and power of image data processing components is currently…