The Important Thing is to Never Stop Questioning or Learning.
2026
2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, 2025, pp. 1-13
@inproceedings{sun25pointcache,
title={Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis},
author={Sun, Hongyu and Ke, Qiuhong and Cheng, Ming and Wang, Yongcai and Li, Deying and Gou, Chenhui and Cai, Jianfei},
booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2025},
pages={1263-1275},
doi={10.1109/CVPR52734.2025.00126}
}
2024
VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024, doi: 10.1109/TVCG.2024.3381152
@ARTICLE{sun25vsformer,
author={Sun, Hongyu and Wang, Yongcai and Wang, Peng and Deng, Haoran and Cai, Xudong and Li, Deying},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={VSFormer: Mining Correlations in Flexible View Set for Multi-View 3D Shape Understanding},
year={2025},
volume={31},
number={4},
pages={2127-2141},
keywords={Three-dimensional displays;Shape;Correlation;Feature extraction;Solid modeling;Transformers;Aggregates;Multi-view 3D shape recognition and retrieval;multi-view 3D shape analysis;view set;attention mechanism},
doi={10.1109/TVCG.2024.3381152}
}
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 9478-9486, doi: 10.1109/ICRA57147.2024.10610093
@INPROCEEDINGS{sun24ppt3d,
author={Sun, Hongyu and Wang, Yongcai and Chen, Wang and Deng, Haoran and Li, Deying},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
title={Parameter-efficient Prompt Learning for 3D Point Cloud Understanding},
year={2024},
pages={9478-9486},
keywords={Point cloud compression;Solid modeling;Adaptation models;Three-dimensional displays;Prompt engineering;Task analysis;Robotics and automation},
doi={10.1109/ICRA57147.2024.10610093}
}
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
@inproceedings{sun24point-prc,
author = {Sun, Hongyu and Ke, Qiuhong and Wang, Yongcai and Chen, Wang and Yang, Kang and Li, Deying and Cai, Jianfei},
booktitle = {Advances in Neural Information Processing Systems},
doi = {10.52202/079017-3761},
editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
pages = {118456-118482},
publisher = {Curran Associates, Inc.},
title = {Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis},
url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/d6938c8e88ef62394d2f4f3fd428e036-Paper-Conference.pdf},
volume = {37},
year = {2024}
}
2023
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 7234-7242, doi: 10.1109/ICRA48891.2023.10160658
@INPROCEEDINGS{sun23vipformer,
author={Sun, Hongyu and Wang, Yongcai and Cai, Xudong and Bai, Xuewei and Li, Deying},
booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},
title={ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding},
year={2023},
pages={7234-7242},
keywords={Point cloud compression;Solid modeling;Runtime;Three-dimensional displays;Shape;Semantic segmentation;Manuals},
doi={10.1109/ICRA48891.2023.10160658}
}
Boundary-Aware Set Abstraction for 3D Object Detection
International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 01-07, doi: 10.1109/IJCNN54540.2023.10191728
@INPROCEEDINGS{huang23basa,
author={Huang, Zhe and Wang, Yongcai and Tang, Xingui and Sun, Hongyu},
booktitle={2023 International Joint Conference on Neural Networks (IJCNN)},
title={Boundary-Aware Set Abstraction for 3D Object Detection},
year={2023},
pages={01-07},
keywords={Measurement;Solid modeling;Three-dimensional displays;Computational modeling;Semantics;Neural networks;Object detection;3D object detection;Point based;Down sampling;Set abstraction;Boundary},
doi={10.1109/IJCNN54540.2023.10191728}
}
2022
AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
Asian Conference on Computer Vision (ACCV), Macau SAR, China, 2022, pp. 2440-2456, doi: 10.1007/978-3-031-26348-4_24
@InProceedings{sun22airbirds,
author = {Sun, Hongyu and Wang, Yongcai and Cai, Xudong and Wang, Peng and Huang, Zhe and Li, Deying and Shao, Yu and Wang, Shuo},
title = {AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports},
booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
month = {December},
year = {2022},
pages = {2440-2456}
}
Journal Articles
Research survey on automatic term extraction
Ruan Jian Xue Bao/Journal of Software, (in Chinese)