| Unsupervised scale-consistent depth and ego-motion learning from monocular video J Bian, Z Li, N Wang, H Zhan, C Shen, MM Cheng, I Reid Advances in neural information processing systems 32, 2019 | 585 | 2019 |
| Lidar r-cnn: An efficient and universal 3d object detector Z Li, F Wang, N Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 201 | 2021 |
| Dynamic computational time for visual attention Z Li, Y Yang, X Liu, F Zhou, S Wen, W Xu Proceedings of the IEEE international conference on computer vision …, 2017 | 134 | 2017 |
| Simpletrack: Understanding and rethinking 3d multi-object tracking Z Pang, Z Li, N Wang European Conference on Computer Vision, 680-696, 2022 | 105 | 2022 |
| Temporal modeling approaches for large-scale youtube-8m video understanding F Li, C Gan, X Liu, Y Bian, X Long, Y Li, Z Li, J Zhou, S Wen arXiv preprint arXiv:1707.04555, 2017 | 67 | 2017 |
| Dmlo: Deep matching lidar odometry Z Li, N Wang 2020 ieee/rsj international conference on intelligent robots and systems …, 2020 | 44 | 2020 |
| Model-free vehicle tracking and state estimation in point cloud sequences Z Pang, Z Li, N Wang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 27 | 2021 |
| Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving J Cao, Z Li, N Wang, C Ma arXiv preprint arXiv:2403.05907, 2024 | | 2024 |
| Deep Planar Parallax for Monocular Depth Estimation H Liang, Z Li, Y Yang, N Wang arXiv preprint arXiv:2301.03178, 2023 | | 2023 |
| Unsupervised scale-consistent depth learning from video JW Bian, H Zhan, N Wang, Z Li, L Zhang, C Shen, MM Cheng, I Reid International Journal of Computer Vision 129 (9), 2548-2564, 2021 | | 2021 |
