Qing Li - RankMe

20 papers A* 7Journal 13

Year	Rank	Type	Title / 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