286 citations · 823 across the 37 of their papers we have counts for
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cs.NE2016★ 22 cited
Emergence of foveal image sampling from learning to attend in visual scenes
Brian Cheung, Eric Weiss, Bruno Olshausen
We describe a neural attention model with a learnable retinal sampling lattice. The model is trained on a visual search task requiring the classification of an object embedded in a…
cs.CV2016★ 17 cited
DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies
Alexander G. Anderson, Cory P. Berg, Daniel P. Mossing +1
A recent paper by Gatys et al. describes a method for rendering an image in the style of another image. First, they use convolutional neural network features to build a statistical…