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Qing Li

Orcid: 0009-0009-8371-4319

Affiliations:
  • Tsinghua University, School of Software, BNRist, Beijing, China
  • Xiamen University, School of Informatics, Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen, China


According to our database1, Qing Li authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation.
[BibTeX]
[DOI]
Qing Li
,
Huifang Feng
,
Kanle Shi
,
Yue Gao
,
Yi Fang
,
Yu-Shen Liu
,
Zhizhong Han
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

2023
DeepSIR: Deep semantic iterative registration for LiDAR point clouds.
[BibTeX]
[DOI]
Qing Li
,
Cheng Wang
,
Chenglu Wen
,
Xin Li
Pattern Recognit., May, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.
[BibTeX]
[DOI]
Qing Li
,
Huifang Feng
,
Kanle Shi
,
Yi Fang
,
Yu-Shen Liu
,
Zhizhong Han
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.
[BibTeX]
[DOI]
Qing Li
,
Huifang Feng
,
Kanle Shi
,
Yue Gao
,
Yi Fang
,
Yu-Shen Liu
,
Zhizhong Han
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds.
[BibTeX]
[DOI]
Qing Li
,
Huifang Feng
,
Kanle Shi
,
Yue Gao
,
Yi Fang
,
Yu-Shen Liu
,
Zhizhong Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces.
[BibTeX]
[DOI]
Qing Li
,
Yu-Shen Liu
,
Jin-San Cheng
,
Cheng Wang
,
Yi Fang
,
Zhizhong Han
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
FeatFlow: Learning geometric features for 3D motion estimation.
[BibTeX]
[DOI]
Qing Li
,
Cheng Wang
,
Xin Li
,
Chenglu Wen
Pattern Recognit., 2021

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds.
[BibTeX]
[DOI]
Hai Wu
,
Qing Li
,
Chenglu Wen
,
Xin Li
,
Xiaoliang Fan
,
Cheng Wang
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling.
[BibTeX]
[DOI]
Wenkai Han
,
Chenglu Wen
,
Cheng Wang
,
Xin Li
,
Qing Li
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
LO-Net: Deep Real-Time Lidar Odometry.
[BibTeX]
[DOI]
Qing Li
,
Shaoyang Chen
,
Cheng Wang
,
Xin Li
,
Chenglu Wen
,
Ming Cheng
,
Jonathan Li
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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