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Building discriminative representations for 3D data has been an important task in computer graphics and computer vision research.
Learning representations by back-propagating errors
DE Rumelhart GE Hinton RJ Williams and GE Hinton · 1986
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A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Using spin images for efficient object recognition in cluttered 3d scenes
Andrew E. Johnson and Martial Hebert · 1999
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Shape distributions
Robert Osada, Thomas Funkhouser, Bernard Chazelle, and David Dobkin · 2002
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On visual similarity based 3d model retrieval
Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen, and Ming Ouhyoung · 2003
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Rotation invariant spherical harmonic representation of 3d shape descriptors
Michael Kazhdan, Thomas Funkhouser, and Szymon Rusinkiewicz · 2003
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Compressed sensing
David L Donoho · 2006
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, R. Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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A concise and provably informative multi-scale signature based on heat diffusion
Jian Sun, Maks Ovsjanikov, and Leonidas Guibas · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Shape google: Geometric words and expressions for invariant shape retrieval
Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas, and Maks Ovsjanikov · 2011
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Convolutional-recursive deep learning for 3d object classification
Richard Socher, Brody Huval, Bharath Bath, Christopher D Manning, and Andrew Y Ng · 2012
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Real-time 3d reconstruction at scale using voxel hashing
Matthias Nießner, Michael Zollhöfer, Shahram Izadi, and Marc Stamminger · 2013
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Learning rich features from rgb-d images for object detection and segmentation
Saurabh Gupta, Ross Girshick, Pablo Arbelaez, and Jitendra Malik · 2014
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Caffe: Convolutional architecture for fast feature embedding
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Geodesic convolutional neural networks on riemannian manifolds
Jonathan Masci, Davide Boscaini, Michael M Bronstein, and Pierre Vandergheynst · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
Daniel Maturana and Sebastian Scherer · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, AlexanderC. Berg, and Li Fei-Fei · 2015
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Deeppano: Deep panoramic representation for 3-d shape recognition
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Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
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Learning spectral descriptors for deformable shape correspondence
Roee Litman and Alexander M Bronstein · 2014
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks
D. Boscaini, J. Masci, S. Melzi, M. M. Bronstein, U. Castellani, and P. Vandergheynst · 2015
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Multimodal deep learning for robust rgb-d object recognition
Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, Martin Riedmiller, and Wolfram Burgard · 2015
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Baoguang Shi, Song Bai, Zhichao Zhou, and Xiang Bai · 2015
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Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik G. Learned-Miller · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Anisotropic diffusion descriptors
Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael M Bronstein, and Daniel Cremers · 2016
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Volumetric and multi-view cnns for object classification on 3d data
Charles R. Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas Guibas · 2016
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