| Vins-mono: A robust and versatile monocular visual-inertial state estimator T Qin, P Li, S Shen IEEE Transactions on Robotics 34 (4), 1004-1020, 2018 | 2881 | 2018 |
| Stereo R-CNN based 3D Object Detection for Autonomous Driving P Li, X Chen, S Shen International Conference on Computer Vision and Pattern Recognition, CVPR 2019, 2019 | 512 | 2019 |
| Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving P Li, T Qin, S Shen 2018 the European Conference on Computer Vision (ECCV), 2018 | 156 | 2018 |
| Monocular visual-inertial state estimation for mobile augmented reality P Li, T Qin, B Hu, F Zhu, S Shen 2017 IEEE international symposium on mixed and augmented reality (ISMAR), 11-21, 2017 | 140 | 2017 |
| Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM T Qin, P Li, S Shen 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 | 61 | 2018 |
| Monojsg: Joint semantic and geometric cost volume for monocular 3d object detection Q Lian, P Li, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Joint spatial-temporal optimization for stereo 3D object tracking P Li, J Shi, S Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 19 | 2020 |
| Trajectory prediction with graph-based dual-scale context fusion L Zhang, P Li, J Chen, S Shen 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 11 | 2022 |
| Temporal point cloud completion with pose disturbance J Shi, L Xu, P Li, X Chen, S Shen IEEE Robotics and Automation Letters 7 (2), 4165-4172, 2022 | 9 | 2022 |
| Multi-sensor 3d object box refinement for autonomous driving P Li, S Liu, S Shen arXiv preprint arXiv:1909.04942, 2019 | 9 | 2019 |
| Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking J Shi, P Li, S Shen arXiv preprint arXiv:2010.10051, 2020 | 1 | 2020 |
| You Only Label Once: 3D Box Adaptation from Point Cloud to Image with Semi-Supervised Learning J Shi, P Li, X Chen, S Shen IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion J Shi, P Li, X Chen, S Shen arXiv preprint arXiv:2303.01804, 2023 | | 2023 |
| Supplementary Material: Stereo R-CNN based 3D Object Detection for Autonomous Driving P Li, X Chen, S Shen | | 2019 |
Shaojie ShenAssociate Professor, Hong Kong University of Science and TechnologyEmail verificata su ust.hk
