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We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.
Convolutional networks for images, speech, and time-series
Y. LeCun and Y. Bengio · 1995
Earlier work this paper cites.
Recognizing human actions: A Local SVM approach, 2004
C. Schuldt, I. Laptev, and B. Caputo · 2004
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Learning Multiple Layers of Features from Tiny Images
A. Krizhevsky · 2009
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CASIA online and offline Chinese handwriting databases
C.-L. Liu, F. Yin, D.-H. Wang, and Q.-F. Wang · 2011
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Multi-column deep neural networks for image classification
D. Ciresan, U. Meier, and J. Schmidhuber · 2012
Earlier work this paper cites.
UCF101: A dataset of 101 human action classes from videos in the wild
A. R. Z. Khurram Soomro and M. Shah · 2012
Cited alongside, same era.
3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
Cited alongside, same era.
Learning separable filters
R. Rigamonti, A. Sironi, V. Lepetit, and P. Fua · 2013
Cited alongside, same era.
B. Graham · 2014
Cited alongside, same era.
Spatially-sparse convolutional neural networks
B. Graham · 2014
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, 2014
K. He, X. Zhang, S. Ren, and J. Sun · 2014
Later among the works it cites.
Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
Later among the works it cites.
Fast training of convolutional networks through ffts
M. Mathieu, M. Henaff, and Y. LeCun · 2014
Later among the works it cites.
3D Convolutional Neural Networks for Landing Zone Detection from LiDAR
D. Maturana and S. Scherer · 2015
Closest in time.
3d shapenets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
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