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Yiting Shao
Yiting Shao
Peking University Shenzhen Graduate School
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
Attribute compression of 3D point clouds using Laplacian sparsity optimized graph transform
Y Shao, Z Zhang, Z Li, K Fan, G Li
2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017
1002017
Hybrid point cloud attribute compression using slice-based layered structure and block-based intra prediction
Y Shao, Q Zhang, G Li, Z Li, L Li
Proceedings of the 26th ACM international conference on Multimedia, 1199-1207, 2018
552018
Multi-angle adaptive intra-frame prediction-based point cloud attribute compression method
G Li, YT Shao, HL Wei, RG Wang, TJ Huang, W Gao
US Patent 10,939,123, 2021
342021
Point cloud attribute compression method based on deleting 0 elements in quantisation matrix
G Li, Q Zhang, Y Shao, W Gao
US Patent 11,216,985, 2022
312022
Layer-wise geometry aggregation framework for lossless lidar point cloud compression
F Song, Y Shao, W Gao, H Wang, T Li
IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4603 …, 2021
312021
Point cloud attribute compression method based on KD tree and optimized graph transformation
G Li, Y Shao
US Patent 10,552,989, 2020
172020
Enhanced graph transformation-based point cloud attribute compression method
G Li, Y Shao
US Patent 11,126,887, 2021
92021
A point cloud compression framework via spherical projection
Y He, G Li, Y Shao, J Wang, Y Chen, S Liu
2020 IEEE International Conference on Visual Communications and Image …, 2020
82020
Attribute compression of 3D point clouds using Laplacian sparsity optimized graph transform. In 2017 IEEE Visual Communications and Image Processing (VCIP), 1–4
Y Shao, Z Zhang, Z Li, K Fan, G Li
IEEE, 1ś4, 2017
72017
Enhanced intra prediction scheme in point cloud attribute compression
H Wei, Y Shao, J Wang, S Liu, G Li
2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019
62019
Point clouds attribute compression using data-adaptive intra prediction
Q Zhang, Y Shao, G Li
2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018
62018
Point cloud attribute compression via successive subspace graph transform
Y Chen, Y Shao, J Wang, G Li, CCJ Kuo
2020 IEEE International Conference on Visual Communications and Image …, 2020
52020
An improved coarse-to-fine motion estimation scheme for lidar point cloud geometry compression
J Jin, G Li, Y Shao, F Song, R Zhang
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021
42021
Hierarchical division-based point cloud attribute compression method
G Li, YT Shao, Q Zhang, RG Wang, TJ Huang, W Gao
US Patent 11,004,240, 2021
42021
Fast recolor prediction scheme in point cloud attribute compression
C Ma, G Li, Q Zhang, Y Shao, J Wang, S Liu
2020 IEEE International Conference on Visual Communications and Image …, 2020
42020
PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds
X Yang, Y Shao, S Liu, TH Li, G Li
Proceedings of the 31st ACM International Conference on Multimedia, 9271-9281, 2023
12023
Non-rigid Registration-Based Progressive Motion Compensation for Point Cloud Geometry Compression
Y Shao, G Li, Q Zhang, W Gao, S Liu
IEEE Transactions on Geoscience and Remote Sensing, 2023
12023
A Fast Motion Estimation Method With Hamming Distance for LiDAR Point Cloud Compression
Y An, Y Shao, G Li, W Gao, S Liu
2022 IEEE International Conference on Visual Communications and Image …, 2022
12022
Point Cloud Encoding and Decoding Methods, Encoding Device and Decoding Device
G Li, H WEl, Y Shao
US Patent App. 17/279,177, 2022
12022
3D Point Cloud Attribute Compression Using Diffusion-based Texture-aware Intra Prediction
Y Shao, X Yang, W Gao, S Liu, G Li
IEEE Transactions on Circuits and Systems for Video Technology, 2024
2024
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