Fetching the paper…
Reading the bibliography…
LiDAR-based 3D object detection plays an essential role in autonomous driving.
Sparse 3d convolutional neural networks
Ben Graham · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Target-driven visual navigation in indoor scenes using deep reinforcement learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J Lim, Abhinav Gupta, Li Fei-Fei, and Ali Farhadi · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Submanifold sparse convolutional networks
Benjamin Graham and Laurens Van der Maaten · 2017
Earlier work this paper cites.
Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit Ogale · 2018
Earlier work this paper cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Earlier work this paper cites.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Earlier work this paper cites.
Fast point r-cnn
Yilun Chen, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
Earlier work this paper cites.
Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
Earlier work this paper cites.
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 · 2019
Earlier work this paper cites.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Earlier work this paper cites.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
Earlier work this paper cites.
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.
3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
Object as hotspots: An anchor-free 3d object detection approach via firing of hotspots
Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, and Alan Yuille · 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.
MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
MMDetection3D Contributors · 2020
Cited alongside, same era.
Center-based 3d object detection and tracking
Afdetv2: Rethinking the necessity of the second stage for object detection from point clouds
Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, and Qiang Liu · 2022
Later among the works it cites.
Spconv: Spatially sparse convolution library
Spconv Contributors · 2022
Later among the works it cites.
Scaling up your kernels to 31x31: Revisiting large kernel design in cnns
Xiaohan Ding, Xiangyu Zhang, Jungong Han, and Guiguang Ding · 2022
Later among the works it cites.
Cross view capture for stereo image super-resolution
Xiangyuan Zhu, Kehua Guo, Hui Fang, Liang Chen, Sheng Ren, and Bin Hu · 2022
Later among the works it cites.
Unifying voxel-based representation with transformer for 3d object detection
Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, and Jiaya Jia · 2022
Later among the works it cites.
Vista: Boosting 3d object detection via dual cross-view spatial attention
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Cited alongside, same era.
Argoverse 2: Next generation datasets for self-driving perception and forecasting
Wilson Benjamin, Qi William, Agarwal Tanmay, Lambert John, Singh Jagjeet, Khandelwal Siddhesh, Pan Bowen, Kumar Ratnesh, Hartnett Andrew, Kaesemodel-Pontes Jhony, Ramanan Deva, Carr Peter, and Hays James · 2021
Cited alongside, same era.
Voxel transformer for 3d object detection
Jiageng Mao, Yujing Xue, Minzhe Niu, et al · 2021
Cited alongside, same era.
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
Cited alongside, same era.
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2022
Cited alongside, same era.
Swformer: Sparse window transformer for 3d object detection in point clouds
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, and Dragomir Anguelov · 2022
Cited alongside, same era.
Pillarnet: Real-time and high-performance pillar-based 3d object detection
Guangsheng Shi, Ruifeng Li, and Chao Ma · 2022
Cited alongside, same era.
Shengheng Deng, Zhihao Liang, Lin Sun, and Kui Jia · 2022
Later among the works it cites.
Dsvt: Dynamic sparse voxel transformer with rotated sets
Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, and Liwei Wang · 2023
Later among the works it cites.
HEDNet: A hierarchical encoder-decoder network for 3d object detection in point clouds
Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li Li, and Xiaolin Hu · 2023
Later among the works it cites.
Fsd v2: Improving fully sparse 3d object detection with virtual voxels
Lue Fan, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2023
Later among the works it cites.
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
Later among the works it cites.
Pillarnext: Rethinking network designs for 3d object detection in lidar point clouds
Jinyu Li, Chenxu Luo, and Xiaodong Yang · 2023
Later among the works it cites.
Scaling up kernels in 3d cnns
Yukang Chen, Jianhui Liu, Xiaojuan Qi, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2023
Later among the works it cites.
Efficient transformer-based 3d object detection with dynamic token halting
Mao Ye, Gregory P. Meyer, Yuning Chai, and Qiang Liu · 2023
Later among the works it cites.
Pv-rcnn++: Point-voxel feature set abstraction with local vector representation for 3d object detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2023
Later among the works it cites.
Link: Linear kernel for lidar-based 3d perception
Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, and Limin Wang · 2023
Later among the works it cites.