| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Fri, 28 Nov 2025 09:13:57 GMT
access-control-allow-origin: *
etag: W/"692967d5-c22a"
expires: Mon, 29 Dec 2025 03:59:51 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 3911:1F53DD:83C24B:941A0F:6951FA5F
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 03:49:51 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210098-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766980191.384085,VS0,VE204
vary: Accept-Encoding
x-fastly-request-id: 577200ad350967638d5db45fe1f10aa7d4569b15
content-length: 4633
Qing Li
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.
News
Publications
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
Qing Li,
Huifang Feng,
Xun Gong,
Yu-Shen Liu
Conference on Neural Information Processing Systems (NeurIPS), 2025
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
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
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
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, 12/2023
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
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
DeepSIR: Deep Semantic Iterative Registration for LiDAR Point Clouds
Qing Li,
Cheng Wang,
Chenglu Wen,
Xin Li
Pattern Recognition, 05/2023, 137:109306
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
FeatFlow: Learning Geometric Features for 3D Motion Estimation
Qing Li,
Cheng Wang,
Xin Li,
Chenglu Wen
Pattern Recognition, 03/2021, 111:107574
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
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
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
Academic Service
- Conference Reviewer: NeurIPS, CVPR, AAAI, ICML, ICLR
- Journal Reviewer: TPAMI, TIP, TMM