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Convolutional networks are the de-facto standard for analyzing spatio-temporal data such as images, videos, and 3D shapes.
Optimal Brain Damage
Y. LeCun, J. Denker, and S. Solla · 1990
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Shape Matching and Object Recognition using Shape Contexts
S. Belongie, J. Malik, and J. Puzicha · 2002
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Deconvolutional Networks
M. D. Zeiler, D. Krishnan, G. W. Taylor, and R. Fergus · 2010
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Indoor Segmentation and Support Inference from RGBD Images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
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Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
S. Gupta, P. Arbelaez, and J. Malik · 2013
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Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman · 2014
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Sparse 3D Convolutional Neural Networks
B. Graham · 2015
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Sparse Convolutional Neural Networks
B. Liu, M. Wang, H. Foroosh, M. Tappen, , and M. Penksy · 2015
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Fully Convolutional Networks for Semantic Segmentation
J. Long, E. Shelhamer, and T. Darrell · 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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Multi-View Convolutional Neural Networks for 3D Shape Recognition
H. Su, S. Maji, E. Kalogerakis, and E. G. Learned-Miller · 2015
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Voting for voting in online point cloud object detection
D. Z. Wang and I. Posner · 2015
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Multi-Scale Context Aggregation by Dilated Convolutions
F. Yu and V. Koltun · 2015
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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Ö. Çiçek, A. Abdulkadir, S. S. Lienkamp, T. Brox, and O. Ronneberger · 2016
Densely Connected Convolutional Networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2016
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SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
X. G. L. Yi, H. Su and L. Guibas · 2016
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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 · 2016
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Octnet: Learning Deep 3D Representations at High Resolutions
G. Riegler, A. O. Ulusoys, and A. Geiger · 2016
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Vote3Deep: Fast Object Detection in 3D Point Clouds using Efficient Convolutional Neural Networks
M. Engelcke, D. Rao, D. Z. Wang, C. H. Tong, and I. Posner · 2017
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity Mappings in Deep Residual Networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Submanifold Sparse Convolutional Networks
B. Graham and L. van der Maaten · 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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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
L. Yi, H. Su, L. Shao, M. Savva, et al · 2017
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