Qing Li

I am an associate researcher at the School of Computing and Artificial Intelligence, Southwest Jiaotong University. Before that, I was a postdoctoral fellow at the School of Software, Tsinghua University. I received my doctoral degree from the School of Informatics, Xiamen University.

My research interests include 3D computer vision and point cloud processing.

Scholar Github Email

News

  • Jul 2025: LGSF has been accepted to ICCV 2025.
  • Jul 2024: A new paper has been accepted to TPAMI 2024.
  • Sep 2023: NeuralGF has been accepted to NeurIPS 2023.

Publications

Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering

Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering

Qing Li, Huifang Feng , Xun Gong , Yu-Shen Liu
International Conference on Computer Vision (ICCV), 2025
Project Page PDF arXiv Code
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation

Qing Li, Huifang Feng , Kanle Shi, Yue Gao , Yi Fang , Yu-Shen Liu , Zhizhong Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 12/2024, 46(12):9957-9974
Project Page PDF arXiv Paper Code
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

Qing Li, Huifang Feng , Kanle Shi, Yue Gao , Yi Fang , Yu-Shen Liu , Zhizhong Han
Conference on Neural Information Processing Systems (NeurIPS), 2023
Project Page PDF arXiv Paper Code
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

Qing Li, Huifang Feng , Kanle Shi, Yi Fang , Yu-Shen Liu , Zhizhong Han
SIGGRAPH Asia, 2023
Project Page PDF arXiv Paper Code
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

Qing Li, Huifang Feng , Kanle Shi, Yue Gao , Yi Fang , Yu-Shen Liu , Zhizhong Han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Project Page PDF arXiv Paper Code
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces

Qing Li, Yu-Shen Liu , Jin-San Cheng , Cheng Wang , Yi Fang , Zhizhong Han
Conference on Neural Information Processing Systems (NeurIPS), 2022
Project Page PDF arXiv Paper Code
DeepSIR: Deep Semantic Iterative Registration for LiDAR Point Clouds

DeepSIR: Deep Semantic Iterative Registration for LiDAR Point Clouds

Qing Li, Cheng Wang , Chenglu Wen , Xin Li
Pattern Recognition, 05/2023, 137:109306
Paper
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds

Hai Wu, Qing Li, Chenglu Wen , Xin Li , Xiaoliang Fan, Cheng Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Paper
FeatFlow: Learning Geometric Features for 3D Motion Estimation

FeatFlow: Learning Geometric Features for 3D Motion Estimation

Qing Li, Cheng Wang , Xin Li , Chenglu Wen
Pattern Recognition, 03/2021, 111:107574
Paper
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

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

Wenkai Han, Chenglu Wen , Cheng Wang , Xin Li , Qing Li
Association for the Advancement of Artificial Intelligence (AAAI), 2020 Oral Presentation
Paper
Vehicle Global 6-DoF Pose Estimation Under Traffic Surveillance Camera

Vehicle Global 6-DoF Pose Estimation Under Traffic Surveillance Camera

Shanxin Zhang, Cheng Wang , Zijian He, Qing Li, Xiuhong Lin, Xin Li , Juyong Zhang , Chenhui Yang, Jonathan Li
ISPRS Journal of Photogrammetry and Remote Sensing, 01/2020, 159:114-128
Paper
LO-Net: Deep Real-Time Lidar Odometry

LO-Net: Deep Real-Time Lidar Odometry

Qing Li, Shaoyang Chen, Cheng Wang , Xin Li , Chenglu Wen , Ming Cheng, Jonathan Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
PDF arXiv Paper
Semantic Line Framework-based Indoor Building Modeling Using Backpacked Laser Scanning Point Cloud

Semantic Line Framework-based Indoor Building Modeling Using Backpacked Laser Scanning Point Cloud

Cheng Wang , Shiwei Hou, Chenglu Wen , Zheng Gong, Qing Li, Xiaotian Sun, Jonathan Li
ISPRS Journal of Photogrammetry and Remote Sensing, 09/2018, 143:150-166
Paper

Academic Service

  • Conference Reviewer: NeurIPS, CVPR, ICLR
  • Journal Reviewer: TPAMI, TIP, TMM