| Point Cloud Geometry Compression Via Neural Graph Sampling L Gao, T Fan, J Wang, Y Xu, J Sun, Z Ma 2021 IEEE International Conference on Image Processing (ICIP), 3373-3377, 2021 | 50 | 2021 |
| D-dpcc: Deep dynamic point cloud compression via 3d motion prediction T Fan, L Gao, Y Xu, Z Li, D Wang arXiv preprint arXiv:2205.01135, 2022 | 22 | 2022 |
| Multiscale latent-guided entropy model for lidar point cloud compression T Fan, L Gao, Y Xu, D Wang, Z Li IEEE Transactions on Circuits and Systems for Video Technology 33 (12), 7857 …, 2023 | 7 | 2023 |
| Learning-based Intra-Prediction For Point Cloud Attribute Transform Coding L Hou, L Gao, Y Xu, Z Li, X Xu, S Liu 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 4 | 2022 |
| Occupancy-assisted attribute artifact reduction for video-based point cloud compression L Gao, Z Li, L Hou, Y Xu, J Sun IEEE Transactions on Broadcasting, 2024 | 3 | 2024 |
| Machine perception point cloud quality assessment via vision tasks J Lu, L Gao, W Zhu, Y Xu 2020 International Conference on 3D Immersion (IC3D), 1-7, 2020 | 3 | 2020 |
| DMVC: Deep Mesh Vertex Compression X Zeng, X Zhao, L Gao, Y Xu, Y Guan 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW …, 2023 | 1 | 2023 |
| DMGC: Deep Triangle Mesh Geometry Compression via Connectivity Prediction X Zhao, X Zeng, L Gao, Y Xu, Y Wang Proceedings of the 33rd Workshop on Network and Operating System Support for …, 2023 | 1 | 2023 |
| Rate Control for Geometry-Based LiDAR Point Cloud Compression via Multi-Factor Modeling L Hou, L Gao, Q Zhang, Y Xu, JN Hwang, D Wang IEEE Transactions on Broadcasting, 2024 | | 2024 |
| Disentangled Self-Attention with Auto-Regressive Contrastive Learning for Neural Group Recommendation L Gao, H Zhang, L Fu Applied Sciences 14 (10), 4155, 2024 | | 2024 |
