| 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 | 99 | 2017 |
| 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 | 54 | 2018 |
| 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 | 34 | 2021 |
| 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 | 30 | 2022 |
| 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 | 30 | 2021 |
| Point cloud attribute compression method based on KD tree and optimized graph transformation G Li, Y Shao US Patent 10,552,989, 2020 | 17 | 2020 |
| Enhanced graph transformation-based point cloud attribute compression method G Li, Y Shao US Patent 11,126,887, 2021 | 9 | 2021 |
| 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 | 8 | 2020 |
| 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 | 7 | 2017 |
| 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 | 6 | 2019 |
| 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 | 6 | 2018 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Point Cloud Encoding and Decoding Methods, Encoding Device and Decoding Device G Li, H WEl, Y Shao US Patent App. 17/279,177, 2022 | 1 | 2022 |
| Self-adaptive point cloud stripe division method G Li, Y Shao, J Jin US Patent 11,875,513, 2024 | | 2024 |
| Point cloud attribute entropy encoding method and device, and point cloud attribute entropy decoding method and device G Li, C Ma, J Wang, Y Shao US Patent App. 18/011,397, 2023 | | 2023 |
