10 citations · 18 across the 4 of their papers we have counts for
5 papers
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…
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,…
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…
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…