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LiDAR and camera are two important sensors for 3D object detection in autonomous driving.
The hungarian method for the assignment problem
H. Kuhn · 1955
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The pascal visual object classes (voc) challenge
M. Everingham, L. Gool, Christopher K. I. Williams, J. Winn, and Andrew Zisserman · 2009
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and J. Sun · 2015
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Jixiang Wan, B. Li, and Tian Xia · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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PointNet: Deep learning on point sets for 3d classification and segmentation
C. Qi, Hao Su, Kaichun Mo, and L. Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 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 · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Binh Yang, Shenlong Wang, and R. Urtasun · 2018
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Frustum pointnets for 3d object detection from rgb-d data
C. Qi, W. Liu, Chenxia Wu, Hao Su, and L. Guibas · 2018
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SECOND: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and B. Li · 2018
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PIXOR: Real-time 3d object detection from point clouds
Binh Yang, Wenjie Luo, and R. Urtasun · 2018
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Deep layer aggregation
F. Yu, Dequan Wang, and Trevor Darrell · 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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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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Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Binh Yang, Yun Chen, Rui Hu, and R. Urtasun · 2019
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Sensor fusion for joint 3d object detection and semantic segmentation
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankita Gajanan Laddha, and Carlos Vallespi-Gonzalez · 2019
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Deep hough voting for 3d object detection in point clouds
C. Qi, O. Litany, Kaiming He, and L. Guibas · 2019
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Orthographic feature transform for monocular 3d object detection
Thomas Roddick, Alex Kendall, and R. Cipolla · 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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RoarNet: A robust 3d object detection based on region approximation refinement
Kiwoo Shin, Y. Kwon, and M. Tomizuka · 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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STD: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Y. 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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Objects as points
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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MVF: End-to-end multi-view fusion for 3d object detection in lidar point clouds
Yin Zhou, Pei Sun, Y. Zhang, Dragomir Anguelov, J. Gao, Tom Y. Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2019
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Class-balanced grouping and sampling for point cloud 3d object detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
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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
Cited alongside, same era.
DETR: End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Fast convergence of detr with spatially modulated co-attention
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
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EagerMOT: 3d multi-object tracking via sensor fusion
Aleksandr Kim, Aljosa Osep, and Laura Leal-Taixé · 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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Suppress-and-refine framework for end-to-end 3d object detection
Zili Liu, Guodong Xu, Honghui Yang, Minghao Chen, Kuoliang Wu, Zheng Yang, Haifeng Liu, and Deng Cai · 2021
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Group-free 3d object detection via transformers
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong · 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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Cited alongside, same era.
Every View Counts: Cross-view consistency in 3d object detection with hybrid-cylindrical-spherical voxelization
Qi Chen, Lin Sun, Ernest C. H. Cheung, and A. Yuille · 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, K. Jia, and A. Yuille · 2020
Cited alongside, same era.
MMDetection3D: OpenMMLab next-generation platform for general 3D object detection
MMDetection3D Contributors · 2020
Cited alongside, same era.
EPNet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and X. Bai · 2020
Cited alongside, same era.
Lift, Splat, Shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and S. Fidler · 2020
Cited alongside, same era.
ImVoteNet: Boosting 3d object detection in point clouds with image votes
C. Qi, Xinlei Chen, O. Litany, and L. Guibas · 2020
Cited alongside, same era.
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An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, and Armand Joulin · 2021
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3d object detection with pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, L. Li, and Gao Huang · 2021
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Improving 3d object detection with channel-wise transformer
Hualian Sheng, Sijia Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xiansheng Hua, and Min-Jian Zhao · 2021
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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 · 2021
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LoFTR: Detector-free local feature matching with transformers
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
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OneNet: What makes for end-to-end object detection?
Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, and Ping Luo · 2021
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RSN: Range sparse net for efficient, accurate lidar 3d object detection
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin F. Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, and Drago Anguelov · 2021
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Sparse R-CNN: End-to-end object detection with learnable proposals
Pei Sun, Rufeng Zhang, Yi Jiang, T. Kong, Chenfeng Xu, W. Zhan, M. Tomizuka, L. Li, Zehuan Yuan, C. Wang, and Ping Luo · 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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Object DGCNN: 3d object detection using dynamic graphs
Yue Wang and Justin Solomon · 2021
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FusionPainting: Multimodal fusion with adaptive attention for 3d object detection
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, and Liangjun Zhang · 2021
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Efficient DETR: Improving end-to-end object detector with dense prior
Z. Yao, Jiangbo Ai, Boxun Li, and Chi Zhang · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Multimodal virtual point 3d detection
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Cross-modal 3d object detection and tracking for auto-driving
Yihan Zeng, Chao Ma, Ming Zhu, Zhiming Fan, and Xiaokang Yang · 2021
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LIF-Seg: Lidar and camera image fusion for 3d lidar semantic segmentation
Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, and Wenbing Tao · 2021
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Deformable DETR: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2021
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