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We study the problem of efficient object detection of 3D LiDAR point clouds.
Context-aware visual tracking
Ming Yang, Ying Wu, and Gang Hua · 2008
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An empirical study of context in object detection
Santosh K Divvala, Derek Hoiem, James H Hays, Alexei A Efros, and Martial Hebert · 2009
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Voting for voting in online point cloud object detection
Dominic Zeng Wang and Ingmar Posner · 2015
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Submanifold sparse convolutional networks
Benjamin Graham and Laurens van der Maaten · 2017
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Pointnet: Deep learning on point sets for 3D classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Yolo3D: End-to-end real-time 3D oriented object bounding box detection from lidar point cloud
Waleed Ali, Sherif Abdelkarim, Mahmoud Zidan, Mohamed Zahran, and Ahmad El Sallab · 2018
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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 · 2018
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Complex-yolo: An euler-region-proposal for real-time 3D object detection on point clouds
Martin Simony, Stefan Milzy, Karl Amendey, and Horst-Michael Gross · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Pixor: Real-time 3D object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
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Voxelnet: End-to-end learning for point cloud based 3D object detection
Yin Zhou and Oncel Tuzel · 2018
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Fast point r-cnn
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 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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Relation-shape convolutional neural network for point cloud analysis
Yongcheng Liu, Bin Fan, Shiming Xiang, and Chunhong Pan · 2019
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Point-voxel cnn for efficient 3d deep learning
Zhijian Liu, Haotian Tang, Yujun Lin, and Song Han · 2019
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Deep hough voting for 3D object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 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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Complexer-yolo: Real-time 3D object detection and tracking on semantic point clouds
Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Samann, Hauke Kaulbersch, Stefan Milz, and Horst Michael Gross · 2019
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Super-convergence: Very fast training of neural networks using large learning rates
Leslie N Smith and Nicholay Topin · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 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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Iou loss for 2D/3D object detection
Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, and Ruigang Yang · 2019
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Associate-3Ddet: perceptual-to-conceptual association for 3D point cloud object detection
Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, and Shilei Wen · 2020
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Deep learning for 3D point clouds: A survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2020
End-to-end multi-view fusion for 3D object detection in lidar point clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2020
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Spinnet: Learning a general surface descriptor for 3d point cloud registration
Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, and Yulan Guo · 2021
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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 · 2021
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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 · 2021
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Sqn: Weakly-supervised semantic segmentation of large-scale 3d point clouds with 1000x fewer labels
Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, and Andrew Markham · 2021
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Structure aware single-stage 3D object detection from point cloud
Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2020
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Randla-net: Efficient semantic segmentation of large-scale point clouds
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham · 2020
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3d iou-net: Iou guided 3D object detector for point clouds
Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S Krylov, Yong Ding, and Ling Shao · 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.
End-to-end pseudo-lidar for image-based 3D object detection
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, and Wei-Lun Chao · 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.
Learning semantic segmentation of large-scale point clouds with random sampling
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham · 2021
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Vic-net: Voxelization information compensation network for pointcloud 3D object detection
Tianyuan Jiang, Nan Song, Huanyu Liu, Ruihao Yin, Ye Gong, and Jian Yao · 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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One million scenes for autonomous driving: Once dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, et al · 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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Pvgnet: A bottom-up one-stage 3d object detector with integrated multi-level features
Zhenwei Miao, Jikai Chen, Hongyu Pan, Ruiwen Zhang, Kaixuan Liu, Peihan Hao, Jun Zhu, Yang Wang, and Xin Zhan · 2021
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Hvpr: Hybrid voxel-point representation for single-stage 3D object detection
Jongyoun Noh, Sanghoon Lee, and Bumsub Ham · 2021
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Boundary-aware 3D object detection from point clouds
Rui Qian, Xin Lai, and Xirong Li · 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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Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 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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Sensaturban: Learning semantics from urban-scale photogrammetric point clouds
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, and Andrew Markham · 2022
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Spatial-temporal transformer for 3d point cloud sequences
Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, and Yulan Guo · 2022
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