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This paper presents a convolutional layer that is able to process sparse input features.
Non-linear Gaussian filters performing edge preserving diffusion
Aurich, Volker and Weule, Jörg · 1995
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SUSAN – a new approach to low level image processing
Smith, Stephen M. and Brady, J. Michael · 1997
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Gradient-based learning applied to document recognition
LeCun, Yann, Bottou, Léon, Bengio, Yoshua, and Haffner, Patrick · 1998
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Bilateral filtering for gray and color images
Tomasi, Carlo and Roberto, Manduchi · 1998
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Gaussian kd-trees for fast high-dimensional filtering
Adams, Andrew, Gelfand, Natasha, Dolson, Jennifer, and Levoy, Marc · 2009
Cited alongside, same era.
A fast approximation of the bilateral filter using a signal processing approach
Paris, Sylvain and Durand, Frédo · 2009
Cited alongside, same era.
Fast high-dimensional filtering using the permutohedral lattice
Adams, Andrew, Baek, Jongmin, and Davis, Myers Abraham · 2010
Cited alongside, same era.
Contour detection and hierarchical image segmentation
Arbeláez, Pablo, Maire, Michael, Fowlkes, Charless, and Malik, Jitendra · 2011
Later among the works it cites.
Group invariant scattering
Mallat, Stéphane · 2012
Later among the works it cites.
Caffe: Convolutional architecture for fast feature embedding
Jia, Yangqing, Shelhamer, Evan, Donahue, Jeff, Karayev, Sergey, Long, Jonathan, Girshick, Ross, Guadarrama, Sergio, and Darrell, Trevor · 2014
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