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Fusion of 2D images and 3D point clouds is important because information from dense images can enhance sparse point clouds.
3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Shapenet: An information-rich 3d model repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, et al · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 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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Joint 2d-3d-semantic data for indoor scene understanding
I. Armeni, S. Sax, A. R. Zamir, and S. Savarese · 2017
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Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Escape from cells: Deep kd-networks for the recognition of 3d point cloud models
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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Segcloud: Semantic segmentation of 3d point clouds
L. Tchapmi, C. Choy, I. Armeni, J. Gwak, and S. Savarese · 2017
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H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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3dmv: Joint 3d-multi-view prediction for 3d semantic scene segmentation
A. Dai and M. Nießner · 2018
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3d semantic segmentation with submanifold sparse convolutional networks
Deep continuous fusion for multi-sensor 3d object detection
M. Liang, B. Yang, S. Wang, and R. Urtasun · 2018
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Frustum pointnets for 3d object detection from rgb-d data
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas · 2018
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Splatnet: Sparse lattice networks for point cloud processing
H. Su, V. Jampani, D. Sun, S. Maji, E. Kalogerakis, M.-H. Yang, and J. Kautz · 2018
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Deep parametric continuous convolutional neural networks
S. Wang, S. Suo, W.-C. Ma, A. Pokrovsky, and R. Urtasun · 2018
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Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
W. Wang, R. Yu, Q. Huang, and U. Neumann · 2018
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B. Graham, M. Engelcke, and L. van der Maaten · 2018
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3d-sis: 3d semantic instance segmentation of rgb-d scans
J. Hou, A. Dai, and M. Nießner · 2018
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Sparse and dense data with cnns: Depth completion and semantic segmentation
M. Jaritz, R. De Charette, E. Wirbel, X. Perrotton, and F. Nashashibi · 2018
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Large-scale point cloud semantic segmentation with superpoint graphs
L. Landrieu and M. Simonovsky · 2018
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Pointcnn: Convolution on x-transformed points
Y. Li, R. Bu, M. Sun, W. Wu, X. Di, and B. Chen · 2018
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Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2018
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Pointconv: Deep convolutional networks on 3d point clouds
W. Wu, Z. Qi, and L. Fuxin · 2018
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Spidercnn: Deep learning on point sets with parameterized convolutional filters
Y. Xu, T. Fan, M. Xu, L. Zeng, and Y. Qiao · 2018
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Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
L. Yi, W. Zhao, H. Wang, M. Sung, and L. Guibas · 2018
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Masc: Multi-scale affinity with sparse convolution for 3d instance segmentation
C. Liu and Y. Furukawa · 2019
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