Fetching the paper…
Reading the bibliography…
LiDAR-camera fusion methods have shown impressive performance in 3D object detection.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
3d object proposals for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G Berneshawi, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2015
Earlier work this paper cites.
Faster r-cnn: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 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.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
Earlier work this paper cites.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Earlier work this paper cites.
Semantic classification of 3d point clouds with multiscale spherical neighborhoods
Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui, and Yann LeGall · 2018
Earlier work this paper cites.
Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 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.
A survey on 3d object detection methods for autonomous driving applications
Eduardo Arnold, Omar Y Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, and Alex Mouzakitis · 2019
Earlier work this paper cites.
Mono3d++: Monocular 3d vehicle detection with two-scale 3d hypotheses and task priors
Tong He and Stefano Soatto · 2019
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.
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
Earlier work this paper cites.
Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
Earlier work this paper cites.
1st place solution for waymo open dataset challenge–3d detection and domain adaptation
Zhuangzhuang Ding, Yihan Hu, Runzhou Ge, Li Huang, Sijia Chen, Yu Wang, and Jie Liao · 2020
Earlier work this paper cites.
Structure aware single-stage 3d object detection from point cloud
Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2020
Earlier work this paper cites.
Epnet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and Xiang Bai · 2020
Earlier work this paper cites.
Smoke: Single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Tóth · 2020
Earlier work this paper cites.
Clocs: Camera-lidar object candidates fusion for 3d object detection
Su Pang, Daniel Morris, and Hayder Radha · 2020
Earlier work this paper cites.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 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.
Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Raj Rajkumar · 2020
Cited alongside, same era.
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, et al · 2020
Cited alongside, same era.
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Cited alongside, same era.
Mt-net submission to the waymo 3d detection leaderboard
Shaoxiang Chen, Zequn Jie, Xiaolin Wei, and Lin Ma · 2022
Later among the works it cites.
Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal object detection
Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, and Hongsheng Li · 2022
Later among the works it cites.
Focal sparse convolutional networks for 3d object detection
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2022
Later among the works it cites.
Autoalignv2: Deformable feature aggregation for dynamic multi-modal 3d object detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, and Feng Zhao · 2022
Later among the works it cites.
Embracing single stride 3d object detector with sparse transformer
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, and Xiaofei He · 2020
Cited alongside, same era.
3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection
Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, and Jun Won Choi · 2020
Cited alongside, same era.
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 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2021
Cited alongside, same era.
Lidar r-cnn: An efficient and universal 3d object detector
Zhichao Li, Feng Wang, and Naiyan Wang · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Voxel set transformer: A set-to-set approach to 3d object detection from point clouds
Chenhang He, Ruihuang Li, Shuai Li, and Lei Zhang · 2022
Later among the works it cites.
Point density-aware voxels for lidar 3d object detection
Jordan SK Hu, Tianshu Kuai, and Steven L Waslander · 2022
Later among the works it cites.
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.
Multi-modal sensor fusion for auto driving perception: A survey
Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, and Yikang Li · 2022
Later among the works it cites.
Monodtr: Monocular 3d object detection with depth-aware transformer
Kuan-Chih Huang, Tsung-Han Wu, Hung-Ting Su, and Winston H Hsu · 2022
Later among the works it cites.
Homogeneous multi-modal feature fusion and interaction for 3d object detection
Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, and Liang He · 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.
Voxel field fusion for 3d object detection
Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, and Jiaya Jia · 2022
Later among the works it cites.
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V Le, et al · 2022
Later among the works it cites.
Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
Later among the works it cites.
Petr: Position embedding transformation for multi-view 3d object detection
Yingfei Liu, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
Later among the works it cites.
Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
Later among the works it cites.
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
Later among the works it cites.
Sparse fuse dense: Towards high quality 3d detection with depth completion
Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, and Deng Cai · 2022
Later among the works it cites.
Int: Towards infinite-frames 3d detection with an efficient framework
Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, and Xin Zhan · 2022
Later among the works it cites.
Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph
Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, and Deng Cai · 2022
Later among the works it cites.
Lidarmultinet: Towards a unified multi-task network for lidar perception
Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, and Hassan Foroosh · 2022
Later among the works it cites.
Cat-det: Contrastively augmented transformer for multi-modal 3d object detection
Yanan Zhang, Jiaxin Chen, and Di Huang · 2022
Later among the works it cites.
Centerformer: Center-based transformer for 3d object detection
Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, and Hassan Foroosh · 2022
Later among the works it cites.