Qing Li

20 papers A* 7Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation.
IEEE Trans. Vis. Comput. Graph.
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2025 J jnl
Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering.
CoRR
Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu
2025 J jnl
PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation.
CoRR
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2025 J jnl
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment.
CoRR
Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu
2024 J jnl
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 J jnl
DeepSIR: Deep semantic iterative registration for LiDAR point clouds.
Pattern Recognit.
Qing Li, Cheng Wang, Chenglu Wen, Xin Li
2023 A* conf
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.
SIGGRAPH Asia
Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 J jnl
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.
CoRR
Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 A* conf
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.
NeurIPS
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 J jnl
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function.
CoRR
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 A* conf
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds.
CVPR
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023 J jnl
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds.
CoRR
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2022 A* conf
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces.
NeurIPS
Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han
2022 J jnl
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces.
CoRR
Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han
2021 J jnl
FeatFlow: Learning geometric features for 3D motion estimation.
Pattern Recognit.
Qing Li, Cheng Wang, Xin Li, Chenglu Wen
2021 A* conf
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds.
IJCAI
Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, Cheng Wang
2020 A* conf
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling.
AAAI
Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li
2019 A* conf
LO-Net: Deep Real-Time Lidar Odometry.
CVPR
Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li
2019 J jnl
LO-Net: Deep Real-time Lidar Odometry.
CoRR
Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li
2019 J jnl
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling.
CoRR
Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li