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Current LiDAR-only 3D detection methods inevitably suffer from the sparsity of point clouds.
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Multi-view 3D object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Joint 3D proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L. Waslander · 2017
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PointNet++: Deep hierarchical feature learning on point sets in a metric space
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Deep continuous fusion for multi-sensor 3D object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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SECOND: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Fast point R-CNN
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Improving 3d object detection for pedestrians with virtual multi-view synthesis orientation estimation
Jason Ku, Alex D Pon, Sean Walsh, and Steven L Waslander · 2019
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PointPillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
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Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, and Raquel Urtasun · 2019
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PointRCNN: 3D object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Mvx-net: Multimodal voxelnet for 3d object detection
Vishwanath A Sindagi, Yin Zhou, and Oncel Tuzel · 2019
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Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
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Zhixin Wang and Kui Jia · 2019
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STD: Sparse-to-dense 3D object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
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3d object detection using scale invariant and feature reweighting networks
Xin Zhao, Zhe Liu, Ruolan Hu, and Kaiqi Huang · 2019
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Voxel r-cnn: Towards high performance voxel-based 3d object detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li · 2020
To the point: Efficient 3d object detection in the range image with graph convolution kernels
Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, and Dragomir Anguelov · 2021
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Rangedet: In defense of range view for lidar-based 3d object detection
Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2021
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Real-time anchor-free single-stage 3d detection with iou-awareness
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Wenxin Shao, Li Huang, Kun Li, and Qiang Liu · 2021
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Denselidar: A real-time pseudo dense depth guided depth completion network
Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, and Lingxuan Wang · 2021
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Sparse auxiliary networks for unified monocular depth prediction and completion
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, and Adrien Gaidon · 2021
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Cited alongside, same era.
Structure aware single-stage 3D object detection from point cloud
Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2020
Cited alongside, same era.
Epnet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and Xiang Bai · 2020
Cited alongside, same era.
Tanet: Robust 3d object detection from point clouds with triple attention
Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, and Xiang Bai · 2020
Cited alongside, same era.
CLOCs: Camera-LiDAR object candidates fusion for 3D object detection
Su Pang, Daniel Morris, and Hayder Radha · 2020
Cited alongside, same era.
PV-RCNN: Point-voxel feature set abstraction for 3D object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Cited alongside, same era.
From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Cited alongside, same era.
Openpcdet: An open-source toolbox for 3d object detection from point clouds
OpenPCDet Development Team · 2020
Cited alongside, same era.
Later among the works it cites.
Penet: Towards precise and efficient image guided depth completion
Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, and Xiaojin Gong · 2021
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Depth completion with twin surface extrapolation at occlusion boundaries
Saif Imran, Xiaoming Liu, and Daniel Morris · 2021
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Lidar r-cnn: An efficient and universal 3d object detector
Zhichao Li, Feng Wang, and Naiyan Wang · 2021
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Pyramid r-cnn: Towards better performance and adaptability for 3d object detection
Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, and Chunjing Xu · 2021
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Voxel transformer for 3d object detection
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, and Chunjing Xu · 2021
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Improving 3d object detection with channel-wise transformer
Hualian Sheng, Sijia Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, and Min-Jian Zhao · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Spg: Unsupervised domain adaptation for 3d object detection via semantic point generation
Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R Qi, and Dragomir Anguelov · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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CIA-SSD: Confident IoU-aware single-stage object detector from point cloud
Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, and Chi-Wing Fu · 2021
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Se-ssd: Self-ensembling single-stage object detector from point cloud
Wu Zheng, Weiliang Tang, Li Jiang, and Chi-Wing Fu · 2021
Later among the works it cites.