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Many recent works on 3D object detection have focused on designing neural network architectures that can consume point cloud data.
Structural indexing: efficient 3-d object recognition
F. Stein and G. Medioni · 1992
Earlier work this paper cites.
Point signatures: A new representation for 3D object recognition
C. S. Chua and R. Jarvis · 1997
Earlier work this paper cites.
Cosmos-a representation scheme for 3D free-form objects
C. Dorai and A. K. Jain · 1997
Earlier work this paper cites.
Development of small robot for home floor cleaning
Y.-J. Oh and Y. Watanabe · 2002
Earlier work this paper cites.
Multiple 3D object tracking for augmented reality
Y. Park, V. Lepetit, and W. Woo · 2008
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Scale-hierarchical 3D object recognition in cluttered scenes
P. Bariya and K. Nishino · 2010
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Are we ready for autonomous driving? the KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Detailed 3D representations for object recognition and modeling
M. Z. Zia, M. Stark, B. Schiele, and K. Schindler · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Pedestrian detection combining RGB and dense LIDAR data
C. Premebida, J. Carreira, J. Batista, and U. Nunes · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Sliding shapes for 3D object detection in depth images
S. Song and J. Xiao · 2014
Earlier work this paper cites.
Learning to rank 3D features
O. Tuzel, M.-Y. Liu, Y. Taguchi, and A. Raghunathan · 2014
Earlier work this paper cites.
Are cars just 3D boxes? jointly estimating the 3D shape of multiple objects
M. Z. Zia, M. Stark, and K. Schindler · 2014
Cited alongside, same era.
3D object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
Cited alongside, same era.
Fast r-cnn
R. Girshick · 2015
Cited alongside, same era.
Multiview random forest of local experts combining rgb and lidar data for pedestrian detection
A. Gonzalez, G. Villalonga, J. Xu, D. Vazquez, J. Amores, and A. Lopez · 2015
Cited alongside, same era.
3D Convolutional Neural Networks for Landing Zone Detection from LiDAR
D. Maturana and S. Scherer · 2015
Cited alongside, same era.
VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
D. Maturana and S. Scherer · 2015
Cited alongside, same era.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Later among the works it cites.
Objectnet3D: A large scale database for 3D object recognition
Y. Xiang, W. Kim, W. Chen, J. Ji, C. Choy, H. Su, R. Mottaghi, L. Guibas, and S. Savarese · 2016
Later among the works it cites.
Deep manta: A coarse-to-fine many-task network for joint 2d and 3D vehicle analysis from monocular image
F. Chabot, M. Chaouch, J. Rabarisoa, C. Teuliere, and T. Chateau · 2017
Later among the works it cites.
Multi-view 3D object detection network for autonomous driving
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia · 2017
Later among the works it cites.
Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks
M. Engelcke, D. Rao, D. Z. Wang, C. H. Tong, and I. Posner · 2017
Later among the works it cites.
Mask r-cnn
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Joint sfm and detection cues for monocular 3D localization in road scenes
S. Song and M. Chandraker · 2015
Cited alongside, same era.
Voting for voting in online point cloud object detection
D. Z. Wang and I. Posner · 2015
Cited alongside, same era.
Data-driven 3D voxel patterns for object category recognition
Y. Xiang, W. Choi, Y. Lin, and S. Savarese · 2015
Cited alongside, same era.
Monocular 3D object detection for autonomous driving
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun · 2016
Cited alongside, same era.
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Later among the works it cites.
Joint 3D proposal generation and object detection from view aggregation
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. Waslander · 2017
Later among the works it cites.
3D fully convolutional network for vehicle detection in point cloud
B. Li · 2017
Later among the works it cites.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
Later among the works it cites.
Pointnet: Deep learning on point sets for 3D classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
Later among the works it cites.
Deep continuous fusion for multi-sensor 3D object detection
M. Liang, B. Yang, S. Wang, and R. Urtasun · 2018
Later among the works it cites.
Frustum pointnets for 3D object detection from rgb-d data
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas · 2018
Later among the works it cites.
HDNET: Exploiting HD maps for 3D object detection
B. Yang, M. Liang, and R. Urtasun · 2018
Later among the works it cites.
Pixor: Real-time 3D object detection from point clouds
B. Yang, W. Luo, and R. Urtasun · 2018
Later among the works it cites.
VoxelNet: End-to-end learning for point cloud based 3D object detection
Y. Zhou and O. Tuzel · 2018
Later among the works it cites.