| MS-GraphSIM: Inferring point cloud quality via multiscale graph similarity Y Zhang, Q Yang, Y Xu Proceedings of the 29th ACM International Conference on Multimedia, 1230-1238, 2021 | 33 | 2021 |
| MPED: Quantifying point cloud distortion based on multiscale potential energy discrepancy Q Yang, Y Zhang, S Chen, Y Xu, J Sun, Z Ma IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6037-6054, 2022 | 22 | 2022 |
| Gpa-net: No-reference point cloud quality assessment with multi-task graph convolutional network Z Shan, Q Yang, R Ye, Y Zhang, Y Xu, X Xu, S Liu IEEE Transactions on Visualization and Computer Graphics, 2023 | 15 | 2023 |
| TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment Y Zhang, Q Yang, Y Zhou, X Xu, L Yang, Y Xu IEEE Transactions on Visualization and Computer Graphics, 2023 | 4* | 2023 |
| Improving point cloud quality metrics with noticeable possibility maps Z Wang, Y Zhang, Q Yang, Y Xu, Y Zhou, J Sun, S Liu 2023 IEEE International Conference on Multimedia and Expo (ICME), 360-365, 2023 | 2 | 2023 |
| Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description Y Liu, Q Yang, Y Zhang, Y Xu, L Yang, X Xu, S Liu arXiv preprint arXiv:2307.01567, 2023 | 1 | 2023 |
| PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment Z Shan, Y Zhang, Q Yang, H Yang, Y Xu, S Liu arXiv preprint arXiv:2403.10061, 2024 | | 2024 |
| Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment Z Shan, Y Zhang, Q Yang, H Yang, Y Xu, JN Hwang, X Xu, S Liu arXiv preprint arXiv:2403.10066, 2024 | | 2024 |
