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Multi-view 3D object detection network for autonomous driving. In CVPR.  Xiaozhi Chen Huimin Ma Ji Wan Bo Li and Tian Xia. 2017. Multi-view 3D object detection network for autonomous driving. In CVPR.","DOI":"10.1109\/CVPR.2017.691"},{"key":"e_1_3_2_2_7_1","volume-title":"DSGN: Deep stereo geometry network for 3D object detection. In CVPR.","author":"Chen Yilun","year":"2020","unstructured":"Yilun Chen , Shu Liu , Xiaoyong Shen , and Jiaya Jia . 2020 b. DSGN: Deep stereo geometry network for 3D object detection. In CVPR. Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia. 2020b. DSGN: Deep stereo geometry network for 3D object detection. 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StarNet: Targeted computation for object detection in point clouds. (2019).  Jiquan Ngiam Benjamin Caine Wei Han Brandon Yang Yuning Chai Pei Sun Yin Zhou Xi Yi Ouais Alsharif Patrick Nguyen et al. 2019. StarNet: Targeted computation for object detection in point clouds. (2019)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Felix Nobis Maximilian Geisslinger Markus Weber Johannes Betz and Markus Lienkamp. 2019. A deep learning-based radar and camera sensor fusion architecture for object detection. In 2019 Sensor Data Fusion: Trends Solutions Applications (SDF).  Felix Nobis Maximilian Geisslinger Markus Weber Johannes Betz and Markus Lienkamp. 2019. A deep learning-based radar and camera sensor fusion architecture for object detection. In 2019 Sensor Data Fusion: Trends Solutions Applications (SDF).","DOI":"10.1109\/SDF.2019.8916629"},{"key":"e_1_3_2_2_28_1","volume":"201","author":"Qi Charles R.","unstructured":"Charles R. 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CenterAtt: Fast 2-stage Center Attention Network. arXiv preprint arXiv:2106.10493 (2021)."},{"key":"e_1_3_2_2_51_1","volume-title":"SPG: Unsupervised domain adaptation for 3D object detection via semantic point generation. In CVPR.","author":"Xu Qiangeng","year":"2021","unstructured":"Qiangeng Xu , Yin Zhou , Weiyue Wang , Charles R. Qi , and Dragomir Anguelov . 2021 b. SPG: Unsupervised domain adaptation for 3D object detection via semantic point generation. In CVPR. Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, and Dragomir Anguelov. 2021b. SPG: Unsupervised domain adaptation for 3D object detection via semantic point generation. In CVPR."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"crossref","unstructured":"Zetong Yang Yanan Sun Shu Liu and Jiaya Jia. 2020. 3DSSD: Point-based 3D single stage object detector. In CVPR.  Zetong Yang Yanan Sun Shu Liu and Jiaya Jia. 2020. 3DSSD: Point-based 3D single stage object detector. 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A gift from knowledge distillation: Fast optimization network minimization and transfer learning. In CVPR.  Junho Yim Donggyu Joo Jihoon Bae and Junmo Kim. 2017. A gift from knowledge distillation: Fast optimization network minimization and transfer learning. In CVPR.","DOI":"10.1109\/CVPR.2017.754"},{"key":"e_1_3_2_2_56_1","unstructured":"Tianwei Yin Xingyi Zhou and Philipp Krahenbuhl. 2021. Center-based 3D Object Detection and Tracking. In CVPR.  Tianwei Yin Xingyi Zhou and Philipp Krahenbuhl. 2021. Center-based 3D Object Detection and Tracking. In CVPR."},{"key":"e_1_3_2_2_57_1","unstructured":"Jin Hyeok Yoo Yecheol Kim Jisong Kim and Jun Won Choi. 2020. 3D-CVF: Generating joint camera and LiDAR features using cross-view spatial feature fusion for 3D object detection. In ECCV.  Jin Hyeok Yoo Yecheol Kim Jisong Kim and Jun Won Choi. 2020. 3D-CVF: Generating joint camera and LiDAR features using cross-view spatial feature fusion for 3D object detection. In ECCV."},{"key":"e_1_3_2_2_58_1","unstructured":"Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or and Pheng-Ann Heng. 2018. PU-Net: Point cloud upsampling network. In CVPR.  Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or and Pheng-Ann Heng. 2018. PU-Net: Point cloud upsampling network. In CVPR."},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"crossref","unstructured":"Yanan Zhang Di Huang and Yunhong Wang. 2021. PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection. In AAAI.  Yanan Zhang Di Huang and Yunhong Wang. 2021. PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection. In AAAI.","DOI":"10.1609\/aaai.v35i4.16456"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"crossref","unstructured":"Wu Zheng Mingxuan Hong Li Jiang and Chi-Wing Fu. 2022. Boosting 3D Object Detection by Simulating Multimodality on Point Clouds. In CVPR.  Wu Zheng Mingxuan Hong Li Jiang and Chi-Wing Fu. 2022. Boosting 3D Object Detection by Simulating Multimodality on Point Clouds. In CVPR.","DOI":"10.1109\/CVPR52688.2022.01327"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"crossref","unstructured":"Wu Zheng Weiliang Tang Sijin Chen Li Jiang and Chi-Wing Fu. 2021a. CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud. In AAAI.  Wu Zheng Weiliang Tang Sijin Chen Li Jiang and Chi-Wing Fu. 2021a. CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud. In AAAI.","DOI":"10.1109\/CVPR46437.2021.01426"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"crossref","unstructured":"Wu Zheng Weiliang Tang Li Jiang and Chi-Wing Fu. 2021b. SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud. In CVPR.  Wu Zheng Weiliang Tang Li Jiang and Chi-Wing Fu. 2021b. SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud. 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