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Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently.
A computer oriented geodetic data base and a new technique in file sequencing
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Extended gaussian images
B. K. P. Horn · 1984
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Gradient-based learning applied to document recognition
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Shape distributions
R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin · 2002
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On visual similarity based 3d model retrieval
D.-Y. Chen, X.-P. Tian, Y.-T. Shen, and M. Ouhyoung · 2003
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Rotation invariant spherical harmonic representation of 3 d shape descriptors
M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz · 2003
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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A concise and provably informative multi-scale signature based on heat diffusion
J. Sun, M. Ovsjanikov, and L. Guibas · 2009
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Kinectfusion: Real-time dense surface mapping and tracking
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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A closed-form solution to tensor voting: Theory and applications
T.-P. Wu, S. K. Yeung, J. Jia, C.-K. Tang, and G. G. Medioni · 2012
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Real-time 3d reconstruction at scale using voxel hashing
M. Nießner, M. Zollhöfer, S. Izadi, and M. Stamminger · 2013
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Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi · 2014
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Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
A. Sharif Razavian, H. Azizpour, J. Sullivan, and S. Carlsson · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2015
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Matchnet: Unifying feature and metric learning for patch-based matching
X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Scenenn: A scene meshes dataset with annotations
B.-S. Hua, Q.-H. Pham, D. T. Nguyen, M.-K. Tran, L.-F. Yu, and S.-K. Yeung · 2016
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Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
J. McCormac, A. Handa, A. Davison, and S. Leutenegger · 2016
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Volumetric and multi-view cnns for object classification on 3d data
C. R. Qi, H. Su, M. Niessner, A. Dai, M. Yan, and L. J. Guibas · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Escape from cells: Deep kd-networks for the recognition of 3d point cloud models
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VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
D. Maturana and S. Scherer · 2015
Cited alongside, same era.
Deeppano: Deep panoramic representation for 3-d shape recognition
B. Shi, S. Bai, Z. Zhou, and X. Bai · 2015
Cited alongside, same era.
Sun rgb-d: A rgb-d scene understanding benchmark suite
S. Song, S. P. Lichtenberg, and J. Xiao · 2015
Cited alongside, same era.
Multi-view convolutional neural networks for 3d shape recognition
H. Su, S. Maji, E. Kalogerakis, and E. G. Learned-Miller · 2015
Cited alongside, same era.
Semanticpaint: Interactive 3d labeling and learning at your fingertips
J. Valentin, V. Vineet, M.-M. Cheng, D. Kim, J. Shotton, P. Kohli, M. Nießner, A. Criminisi, S. Izadi, and P. Torr · 2015
Cited alongside, same era.
3d shapenets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, X. Tang, and J. Xiao · 2015
Cited alongside, same era.
3d semantic parsing of large-scale indoor spaces
I. Armeni, O. Sener, A. R. Zamir, H. Jiang, I. Brilakis, M. Fischer, and S. Savarese · 2016
Cited alongside, same era.
R. Klokov and V. Lempitsky · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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3d graph neural networks for RGBD semantic segmentation
X. Qi, R. Liao, J. Jia, S. Fidler, and R. Urtasun · 2017
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Octnet: Learning deep 3d representations at high resolutions
G. Riegler, A. O. Ulusoy, and A. Geiger · 2017
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Semantic scene completion from a single depth image
S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser · 2017
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A robust 3d-2d interactive tool for scene segmentation and annotation
D. Thanh Nguyen, B.-S. Hua, L.-F. Yu, and S.-K. Yeung · 2017
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Pu-net: Point cloud upsampling network
L. Yu, X. Li, C.-W. Fu, D. Cohen-Or, and P.-A. Heng · 2018
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