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3D object detection from multiple image views is a fundamental and challenging task for visual scene understanding.
The complexity of finding fixed-radius near neighbors
Jon L Bentley, Donald F Stanat, and E Hollins Williams Jr · 1977
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A survey of augmented reality
Ronald T Azuma · 1997
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Recent advances in augmented reality
Ronald Azuma, Yohan Baillot, Reinhold Behringer, Steven Feiner, Simon Julier, and Blair MacIntyre · 2001
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Augmented reality technologies, systems and applications
Julie Carmigniani, Borko Furht, Marco Anisetti, Paolo Ceravolo, Ernesto Damiani, and Misa Ivkovic · 2011
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Computational geometry: an introduction
Franco P Preparata and Michael I Shamos · 2012
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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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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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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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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Sniper: Efficient multi-scale training
Bharat Singh, Mahyar Najibi, and Larry S Davis · 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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How do neural networks see depth in single images?
Tom van Dijk and Guido de Croon · 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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Gs3d: An efficient 3d object detection framework for autonomous driving
Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, and Xiaogang Wang · 2019
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Deep fitting degree scoring network for monocular 3d object detection
Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, and Jie Zhou · 2019
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Monogrnet: A geometric reasoning network for monocular 3d object localization
Zengyi Qin, Jinglu Wang, and Yan Lu · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 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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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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Geometry uncertainty projection network for monocular 3d object detection
Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, and Wanli Ouyang · 2021
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Delving into localization errors for monocular 3d object detection
Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, and Wanli Ouyang · 2021
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3d object detection with pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, and Gao Huang · 2021
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Is pseudo-lidar needed for monocular 3d object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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Geometry-based distance decomposition for monocular 3d object detection
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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
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End-to-end object detection with transformers
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Learning depth-guided convolutions for monocular 3d object detection
Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, and Ping Luo · 2020
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1st place solutions of waymo open dataset challenge 2020–2d object detection track
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Centermask: Real-time anchor-free instance segmentation
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Agcn: attention-based graph convolutional networks for drug-drug interaction extraction
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Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, and Tae-Kyun Kim · 2021
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Graph structure learning with variational information bottleneck
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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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Depth-conditioned dynamic message propagation for monocular 3d object detection
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Fcos3d: Fully convolutional one-stage monocular 3d object detection
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Object dgcnn: 3d object detection using dynamic graphs
Yue Wang and Justin M Solomon · 2021
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Center-based 3d object detection and tracking
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Heterogeneous graph structure learning for graph neural networks
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Deep graph structure learning for robust representations: A survey
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Autoalign: Pixel-instance feature aggregation for multi-modal 3d object detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinghong Jiang, Feng Zhao, Bolei Zhou, and Hang Zhao · 2022
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Probabilistic and geometric depth: Detecting objects in perspective
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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
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