1. Lang, A.H., Vora, S., Caesar, H., Zhou, L., Yang, J., and Beijbom, O. (November, January 27). PointPillars: Fast encoders for object detection from point clouds. Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Korea.
2. Zhang, Y., Hu, Q., Xu, G., Ma, Y., Wan, J., and Guo, Y. (2022, January 18–24). Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds. Proceedings of the IEEE/CVF International Conference on Computer Vision, New Orleans, LA, USA.
3. Shi, S., Wang, X., and Li, H. (November, January 27). PointRCNN: 3d object proposal generation and detection from point cloud. Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Korea.
4. Chen, Y., Liu, S., Shen, X., and Jia, J. (2020, January 13–19). DSGN: Deep Stereo Geometry Network for 3D Object Detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA.
5. Li, P., Chen, X., and Shen, S. (November, January 27). Stereo R-CNN based 3d object detection for autonomous driving. Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Korea.