Lossy point cloud geometry compression via end-to-end learning J Wang, H Zhu, H Liu, Z Ma IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4909 …, 2021 | 181* | 2021 |
Multiscale point cloud geometry compression J Wang, D Ding, Z Li, Z Ma 2021 Data Compression Conference (DCC), 73-82, 2021 | 147 | 2021 |
Sparse tensor-based multiscale representation for point cloud geometry compression J Wang, D Ding, Z Li, X Feng, C Cao, Z Ma IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 63 | 2022 |
Point cloud geometry compression via neural graph sampling L Gao, T Fan, J Wan, Y Xu, J Sun, Z Ma 2021 IEEE International Conference on Image Processing (ICIP), 3373-3377, 2021 | 37 | 2021 |
Sparse Tensor-based Point Cloud Attribute Compression J Wang, Z Ma 2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022 | 25 | 2022 |
Efficient LiDAR point cloud geometry compression through neighborhood point attention R Xue, J Wang, Z Ma arXiv preprint arXiv:2208.12573, 2022 | 7 | 2022 |
Compressive sampling for array cameras X Yan, DJ Brady, W Zhang, C Yu, Y Jiang, J Wang, C Huang, Z Li, Z Ma SIAM Journal on Imaging Sciences 14 (1), 156-177, 2021 | 5 | 2021 |
Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction J Wang, D Ding, Z Ma 2023 Data Compression Conference (DCC), 228-237, 2023 | 4 | 2023 |
Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding J Wang, D Ding, H Chen, Z Ma arXiv preprint arXiv:2301.12165, 2023 | 1 | 2023 |
Scalable Point Cloud Attribute Compression J Zhang, J Wang, D Ding, Z Ma IEEE Transactions on Multimedia, 2023 | | 2023 |