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 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

DeepSIR: Deep semantic iterative registration for LiDAR point clouds.

[BibT_eX]

[DOI]

Pattern Recognit., May, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

LO-Net: Deep Real-Time Lidar Odometry.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Qing Li

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