59 citations · 61 across the 3 of their papers we have counts for
4 papers
Point Cloud Attribute Compression via Successive Subspace Graph Transform
Yueru Chen, Yiting Shao, Jing Wang +2
Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compressio…
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Wei Yan, Yiting shao, Shan Liu +3
Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving. As a newly-developed media format which is characterized…
Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction
Yiting Shao, Qi Zhang, Ge Li +1
Point cloud compression is a key enabler for the emerging applications of immersive visual communication, autonomous driving and smart cities, etc. In this paper, we propose a hybr…
Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
Yiting Shao, Zhaobin Zhang, Zhu Li +2
3D sensing and content capture have made significant progress in recent years and the MPEG standardization organization is launching a new project on immersive media with point clo…