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Recently, 3D understanding research sheds light on extracting features from point cloud directly, which requires effective shape pattern description of point clouds.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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Surf: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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Consistent shape maps via semidefinite programming
Qi-Xing Huang and Leonidas J. Guibas · 2013
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Voxel cloud connectivity segmentation - supervoxels for point clouds
J. Papon, A. Abramov, M. Schoeler, and F. Wörgötter · 2013
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Functional map networks for analyzing and exploring large shape collections
Qixing Huang, Fan Wang, and Leonidas J. Guibas · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Geodesic convolutional neural networks on riemannian manifolds
J. Masci, D. Boscaini, M. M. Bronstein, and P. Vandergheynst · 2015
Earlier work this paper cites.
VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
D. Maturana and S. Scherer · 2015
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G-CNN: an iterative grid based object detector
Mahyar Najibi, Mohammad Rastegari, and Larry S. Davis · 2015
Earlier work this paper cites.
3d-assisted feature synthesis for novel views of an object
H. Su, F. Wang, E. Yi, and L. Guibas · 2015
Earlier work this paper cites.
Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, S. Song, A. Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and J. Xiao · 2015
Cited alongside, same era.
3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
Cited alongside, same era.
Fpnn: Field probing neural networks for 3d data
Yangyan Li, Soeren Pirk, Hao Su, Charles R Qi, and Leonidas J Guibas · 2016
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2016
Cited alongside, same era.
Volumetric and multi-view cnns for object classification on 3d data
Charles R Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016
2d-driven 3d object detection in rgb-d images
J. Lahoud and B. Ghanem · 2017
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Large-scale point cloud semantic segmentation with superpoint graphs
Loïc Landrieu and Martin Simonovsky · 2017
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Scenecut: Joint geometric and object segmentation for indoor scenes
Trung Pham, Thanh-Toan Do, Niko Sünderhauf, and Ian D. Reid · 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 · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Evan Shelhamer, Jonathan Long, and Trevor Darrell · 2016
Cited alongside, same era.
Deep Sliding Shapes for amodal 3D object detection in RGB-D images
Shuran Song and Jianxiong Xiao · 2016
Cited alongside, same era.
Syncspeccnn: Synchronized spectral cnn for 3d shape segmentation
Li Yi, Hao Su, Xingwen Guo, and Leonidas Guibas · 2016
Cited alongside, same era.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
Cited alongside, same era.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Cited alongside, same era.
3d object classification and retrieval with spherical cnns
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, and Kostas Daniilidis · 2017
Cited alongside, same era.
Later among the works it cites.
Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger · 2017
Later among the works it cites.
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
Later among the works it cites.
Segcloud: Semantic segmentation of 3d point clouds
Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, and Silvio Savarese · 2017
Later among the works it cites.
Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
Closest in time.
PointCNN
Y. Li, R. Bu, M. Sun, and B. Chen · 2018
Closest in time.
Dynamic graph CNN for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2018
Closest in time.