[32] Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, and Yu-Xiong Wang. Standing between past and future: Spatio-temporal modeling for multi-camera 3d multi-object tracking. In IEEE Conference on Computer Vision and Pattern Recognition, 2023.
[33] Ziqi Pang, Zhichao Li, and Naiyan Wang. Simpletrack: Understanding and rethinking 3d multi-object tracking. In arXiv preprint arXiv:2111.09621, 2021.
[34] Charles R Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov. Offboard 3d object detection from point cloud sequences. In IEEE Conference on Computer Vision and Pattern Recognition, 2021.
[35] Guangsheng Shi, Ruifeng Li, and Chao Ma. Pillarnet: Real-time and high-performance pillar-based 3d object detection. In European Conference on Computer Vision, 2022.
[36] Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li. Pv-rcnn: Point-voxel feature set abstraction for 3d object detection. In IEEE Conference on Computer Vision and Pattern Recognition, 2020.
[37] Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li. Pointrecnn: 3d object proposal generation and detection from point cloud. In IEEE Conference on Computer Vision and Pattern Recognition, 2019.
[38] Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. Dropout: a simple way to prevent neural networks from overfitting. In Journal of Machine Learning Research, 2014.
[39] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. In Advances in Neural Information Processing Systems, 2017.
[40] Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, and Liwei Wang. Dsvt: Dynamic sparse voxel transformer with rotated sets. In IEEE Conference on Computer Vision and Pattern Recognition, 2023.
[41] Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani. 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020.
[42] Kaixin Xiong, Shi Gong, Xiaqing Ye, Xiao Tan, Ji Wan, Errui Ding, Jingdong Wang, and Xiang Bai. Cape: Camera view position embedding for multi-view 3d object detection. In IEEE Conference on Computer Vision and Pattern Recognition, 2023.
[43] Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, and Xin Zhan. Int: Towards infinite-frames 3d detection with an efficient framework. In European Conference on Computer Vision, 2022.
[44] Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, and Xiangyu Zhang. Cross modal transformer via coordinates encoding for 3d object detection. In IEEE International Conference on Computer Vision, 2023.
[45] Yan Yan, Yuxing Mao, and Bo Li. Second: Sparsely embedded convolutional detection. In Sensors, 2018.
[46] Zetong Yang, Yin Zhou, Zhifeng Chen, and Jiquan Ngiam. 3d-man: 3d multi-frame attention network for object detection. In IEEE Conference on Computer Vision and Pattern Recognition, 2021.
[47] Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, and Li Zhang. Deepinteraction: 3d object detection via modality interaction. In Advances in Neural Information Processing Systems, 2022.
[48] Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, and Hassan Foroosh. Lidarmultinet: Towards a unified multi-task network for lidar perception. In AAAI Conference on Artificial Intelligence, 2023.
[49] Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, and Ruigang Yang. Graph neural network and spatiotemporal transformer attention for 3d video object detection from point clouds. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
[50] Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl. Center-based 3d object detection and tracking. In IEEE Conference on Computer Vision and Pattern Recognition, 2021.
[51] Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl. Multimodal virtual point 3d detection. In Advances in Neural Information Processing Systems, 2021.