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Research in point cloud analysis with deep neural networks has made rapid progress in recent years.
C3D: generic features for video analysis
Rob Fergus-Lorenzo Torresani Du Tran, Lubomir D. Bourdev and Manohar Paluri · 2014
Earlier work this paper cites.
Multi-view convolutional neural networks for 3d shape recognition
Evangelos Kalogerakis Hang Su and, Subhransu Maji and Erik G. Learned-Miller · 2015
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Adam: A method for stochastic optimization
Kingma Diederik P. and Ba Jimmy · 2015
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3D ShapeNets: A deep representation for volumetric shapes
Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Zhirong Wu, Shuran Song and Jianxiong Xiao · 2015
Earlier work this paper cites.
PointNet: Deep learning on point sets for 3d classification and segmentation
Kaichun Mo Charles Ruizhongtai Qi, Hao Su and Leonidas J. Guibas · 2016
Earlier work this paper cites.
Volumetric and multi-view cnns for object classification on 3d data
Matthias Nießner-Angela Dai Mengyuan Yan Charles Ruizhongtai Qi, Hao Su and Leonidas J. Guibas · 2016
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Octnet: Learning deep 3d representations at high resolutions
Ali Osman Ulusoy Gernot Riegler and Andreas Geiger · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Tianfan Xue William T. Freeman Jiajun Wu, Chengkai Zhang and Joshua B. Tenenbaum · 2016
Earlier work this paper cites.
FPNN: field probing neural networks for 3d data
Hao Su Charles Ruizhongtai Qi Yangyan Li, Sören Pirk and Leonidas J. Guibas · 2016
Cited alongside, same era.
A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
Cited alongside, same era.
PointNet++: Deep hierarchical feature learning on point sets in a metric space
Hao Su Charles Ruizhongtai Qi, Li Yi and Leonidas J. Guibas · 2017
Cited alongside, same era.
Escape from cells: Deep kd-networks for the recognition of 3d point cloud models
Roman Klokov and Victor S. Lempitsky · 2017
Cited alongside, same era.
Michael Lindenbaum Yizhak Ben-Shabat and Anath Fischer · 2017
Cited alongside, same era.
PointCNN: Convolution on x-transformed points
Mingchao Sun Yangyan Li, Rui Bu and Baoquan Chen · 2018
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Spidercnn: Deep learning on point sets with parameterized convolutional filters
Mingye Xu Long Zeng Yu Qiao Yifan Xu, Tianqi Fan · 2018
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Mining point cloud local structures by kernel correlation and graph pooling
Yaoqing Yang Dong Tian Yiru Shen, Chen Feng · 2018
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Dynamic graph CNN for learning on point clouds
Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Yue Wang, Yongbin Sun and Justin M. Solomon · 2018
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3dcapsule: Extending the capsule architecture to classify 3d point clouds
Ali Cheraghian and Lars Petersson · 2019
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Pointwise convolutional neural networks
Sai-Kit Yeung Binh-Son Hua, Minh-Khoi Tran · 2018
Cited alongside, same era.
Rotationnet: Learning object classification using unsupervised viewpoint estimation
Asako Kanezaki · 2018
Cited alongside, same era.
So-net: Self-organizing network for point cloud analysis
Gim Hee Lee Lee Jiaxin, LiBen M. Chen · 2018
Cited alongside, same era.
Chi-Wing Fu Hengshuang Zhao, Li Jiang and Jiaya Jia · 2019
Later among the works it cites.
Point2sequence: Learning the shape representation of 3d point clouds with an attention-based sequence to sequence network
Yu-Shen Liu Matthias Zwicker Xinhai Liu, Zhizhong Han · 2019
Later among the works it cites.
Relation-shape convolutional neural network for point cloud analysis
Shiming Xiang Yongcheng Liu, Bin Fan and Chunhong Pan · 2019
Later among the works it cites.