Monocular 3d object detection: An extrinsic parameter free approach Y Zhou, Y He, H Zhu, C Wang, H Li, Q Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 88 | 2021 |
Monoef: Extrinsic parameter free monocular 3d object detection Y Zhou, Y He, H Zhu, C Wang, H Li, Q Jiang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 17 | 2021 |
Embodied Understanding of Driving Scenarios Y Zhou, L Huang, Q Bu, J Zeng, T Li, H Qiu, H Zhu, M Guo, Y Qiao, H Li arXiv preprint arXiv:2403.04593, 2024 | 15* | 2024 |
Monoatt: Online monocular 3d object detection with adaptive token transformer Y Zhou, H Zhu, Q Liu, S Chang, M Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
Mogde: Boosting mobile monocular 3d object detection with ground depth estimation Y Zhou, Q Liu, H Zhu, Y Li, S Chang, M Guo Advances in Neural Information Processing Systems 35, 2033-2045, 2022 | 9 | 2022 |
Tempnet: Online semantic segmentation on large-scale point cloud series Y Zhou, H Zhu, C Li, T Cui, S Chang, M Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
On geometric structure of activation spaces in neural networks Y Jia, H Wang, S Shao, H Long, Y Zhou, X Wang arXiv preprint arXiv:1904.01399, 2019 | 4 | 2019 |
Density-invariant features for distant point cloud registration Q Liu, H Zhu, Y Zhou, H Li, S Chang, M Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
APR: online distant point cloud registration through aggregated point cloud reconstruction Q Liu, Y Zhou, H Zhu, S Chang, M Guo arXiv preprint arXiv:2305.02893, 2023 | 2 | 2023 |
OpenScene: The Largest Up-to-Date 3D Occupancy Prediction Benchmark in Autonomous Driving OS Contributors https://github.com/OpenDriveLab/OpenScene, 2023 | | 2023 |