Artykuły udostępnione publicznie: - Qing LiWięcej informacji
Niedostępne w żadnym miejscu: 3
Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud
C Wang, S Hou, C Wen, Z Gong, Q Li, X Sun, J Li
ISPRS Journal of Photogrammetry and Remote Sensing 143, 150-166, 2018
Upoważnienia: National Natural Science Foundation of China
DeepSIR: Deep semantic iterative registration for LiDAR point clouds
Q Li, C Wang, C Wen, X Li
Pattern recognition 137, 109306, 2023
Upoważnienia: National Natural Science Foundation of China
FeatFlow: Learning geometric features for 3D motion estimation
Q Li, C Wang, X Li, C Wen
Pattern Recognition 111, 107574, 2021
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 8
LO-Net: Deep Real-Time Lidar Odometry
Q Li, S Chen, C Wang, X Li, C Wen, M Cheng, J Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8473-8482, 2019
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China
Point2node: Correlation learning of dynamic-node for point cloud feature modeling
W Han, C Wen, C Wang, X Li, Q Li
AAAI Conference on Artificial Intelligence (AAAI) 34 (07), 10925-10932, 2020
Upoważnienia: National Natural Science Foundation of China
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
Q Li, YS Liu, JS Cheng, C Wang, Y Fang, Z Han
Advances in Neural Information Processing Systems (NeurIPS), 2022
Upoważnienia: National Natural Science Foundation of China
Vehicle global 6-DoF pose estimation under traffic surveillance camera
S Zhang, C Wang, Z He, Q Li, X Lin, X Li, J Zhang, C Yang, J Li
ISPRS Journal of Photogrammetry and Remote Sensing 159, 114-128, 2020
Upoważnienia: National Natural Science Foundation of China
SHS-Net: Learning signed hyper surfaces for oriented normal estimation of point clouds
Q Li, H Feng, K Shi, Y Gao, Y Fang, YS Liu, Z Han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13591 …, 2023
Upoważnienia: National Natural Science Foundation of China
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function
Q Li, H Feng, K Shi, Y Gao, Y Fang, YS Liu, Z Han
Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
Upoważnienia: National Natural Science Foundation of China
Neural gradient learning and optimization for oriented point normal estimation
Q Li, H Feng, K Shi, Y Fang, YS Liu, Z Han
SIGGRAPH Asia 2023 Conference Papers, 1-9, 2023
Upoważnienia: National Natural Science Foundation of China
Deep Lidar Odometry
Q Li, C Wang, S Chen, X Li, C Wen, M Cheng, J Li
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2019
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China
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