| 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 | 248 | 2019 |
| 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 | 107 | 2018 |
| 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 | 98 | 2020 |
| Tracklet Proposal Network for Multi-Object Tracking on Point Clouds H Wu, Q Li, C Wen, X Li, X Fan, C Wang International Joint Conference on Artificial Intelligence (IJCAI), 1165-1171, 2021 | 47 | 2021 |
| 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 | 30 | 2022 |
| 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 | 28 | 2020 |
| 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 | 21 | 2023 |
| DeepSIR: Deep semantic iterative registration for LiDAR point clouds Q Li, C Wang, C Wen, X Li Pattern recognition 137, 109306, 2023 | 14 | 2023 |
| 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 | 8 | 2024 |
| 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 | 4 | 2023 |
| FeatFlow: Learning geometric features for 3D motion estimation Q Li, C Wang, X Li, C Wen Pattern Recognition 111, 107574, 2021 | 3 | 2021 |
| Learning signed hyper surfaces for oriented point cloud normal estimation Q Li, H Feng, K Shi, Y Gao, Y Fang, YS Liu, Z Han IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 2 | 2024 |
| 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 | | 2019 |
| SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds—Supplementary Material— Q Li, H Feng, K Shi, Y Gao, Y Fang, YS Liu, Z Han | | |
