汪汉云 副教授

副教授、博士生导师

研究方向：计算机视觉、人工智能、遥感图像处理

Email: wanghanyun-AT-mail.sysu.edu.cn

个人主页：https://why-scholar.github.io/

个人简介：​

汪汉云，中山大学副教授、博士生导师，长期从事多模态数据融合感知方面的工作。担任中国图象图形学学会三维视觉专委会、遥感图像专委会等多个学会专业委员会委员。先后主持国家自然科学基金面上项目、军科委173计划基金等国家和省部级项目多项。在IEEE TPAMI、IEEE TMM、IEEE TCSVT、IEEE TGRS等高质量期刊以及计算机视觉领域顶级学术会议CVPR上发表学术论文60余篇。担任JAG、IET Computer Vision等期刊客座编辑以及ICPR、ICVR等国际学术会议组织委员会委员，并长期担任ISPRS Journal P&RS、IEEE TIP、IEEE TGRS、IEEE TITS、IEEE TCSVT、JAG等学术期刊的审稿人。

近五年发表的部分论文（*代表论文的通讯作者）：

1. X. Wang, Y. Zhang, T. Liu, X. Liu, K. Xu, J. Wan, Y. Guo, and H. Wang*. Efficient Occupancy Prediction Guided Point Cloud Geometry Compression. IEEE Transactions on Circuits and Systems for Video Technology, 2025.

2. X. Wang, Y. Zhang, X. Liu, K. Xu, J. Wan, Y. Guo, and H. Wang*. GCFI-Net: Global-Local Cross-Spatial-Channel Feature Interaction Network for Point Cloud Geometry Compression. IEEE Transactions on Mobile Computing, 2025.

3. Y. Sun, C. Dai, W. Li, Y. Zhang, S. Ji, A. Yu, Y. Chen, and H. Wang*. Supervised Contrastive Learning for Indoor Point Cloud Oversegmentation. IEEE Transactions on Multimedia, 2025.

4. Q. Yin, W. An, T. Liu, Y. Sun, Z. Lin, Y. Guo, and H. Wang*. Satellite Video Object Detection Based on Enhanced 3DTV Regularization and Gaussian Prior. IEEE Transaction on Geoscience and Remote Sensing, 2025.

5. J. Lu, C. Dai, Z. Zhang, X. Liu, R. Zhou, S. Ji, Y. Zhang, H. Guan, and H. Wang*. Ms-DANet: Multi-scale Difference-aware Network for 3D Point Cloud Change Detection. IEEE Transaction on Geoscience and Remote Sensing, 2025.

6. X. Liu, B. Hou, H. Wang*, K. Xu, J. Wan, and Y. Guo. DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion. IEEE Transactions on Multimedia, 2025.

7. X. Wang, Y. Zhang, T. Liu, X. Liu, K. Xu, J. Wan, Y. Guo, and H. Wang*. TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

8. H. Wang, W. Li, H. Fan, S. Ji, C. Dai, Y. Zhang, J. Chen, Y. Guo and L. Wang. PhaseVSRnet: Deep Complex Network for Phase-based Satellite Video Super-Resolution. International Journal of Applied Earth Observation and Geoinformation, 2025.

9. M. Dai, S. Xing, Q. Xu, P. Li, J. Pan, and H. Wang*. Cross-Domain Incremental Feature Learning for ALS Point Cloud Semantic Segmentation with Few Samples. IEEE Transaction on Geoscience and Remote Sensing, 2024.

10. S. Liu, T. Wang, Y. Zhang, R. Zhou, L. Li, C. Dai, Y. Zhang, L. Wang, and H. Wang*. Deep Semantic Graph Matching for Large-scale Outdoor Point Cloud Registration. IEEE Transaction on Geoscience and Remote Sensing, 2024.

11. Y. Guo, H. Wang*, L. Wang, Y. Lei, L. Liu and M. Bennamoun. 3D Face Recognition: Two Decades of Progress and Prospects. ACM Computing Surveys, 2023.

12. S. Liu, T. Wang, Y. Zhang, R. Zhou, C. Dai, Y. Zhang, H. Lei, and H. Wang*. Rethinking of Learning-Based 3D Keypoints Detection for Large-Scale Point Clouds Registration. International Journal of Applied Earth Observation and Geoinformation, 112:102944, 2022.

13. Y. Guo, H. Wang, Q. Hu, H. Liu, L. Liu and M. Bennamoun. Deep Learning for 3D Point Clouds: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(12):4338-4364, 2021 (co-first author, ESI 0.1%, hot paper).