activity
20152017
most citedNeural system identification for large populations separating "what" and "where"

48 citations · 84 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV201713 cited

Guiding human gaze with convolutional neural networks

Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis +1

The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human atte…

stat.ML201748 cited

Neural system identification for large populations separating "what" and "where"

David A. Klindt, Alexander S. Ecker, Thomas Euler +1

Neuroscientists classify neurons into different types that perform similar computations at different locations in the visual field. Traditional methods for neural system identifica…

cs.CV201713 cited

Synthesising Dynamic Textures using Convolutional Neural Networks

Christina M. Funke, Leon A. Gatys, Alexander S. Ecker +1

Here we present a parametric model for dynamic textures. The model is based on spatiotemporal summary statistics computed from the feature representations of a Convolutional Neural…

cs.CV2016

Preserving Color in Neural Artistic Style Transfer

Leon A. Gatys, Matthias Bethge, Aaron Hertzmann +1

This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.). The original algorithm transforms an image to have the style of another given image.…

cs.CV2016

Texture Synthesis Using Shallow Convolutional Networks with Random Filters

Ivan Ustyuzhaninov, Wieland Brendel, Leon A. Gatys +1

Here we demonstrate that the feature space of random shallow convolutional neural networks (CNNs) can serve as a surprisingly good model of natural textures. Patches from the same…

cs.CV20151 cited

A Generative Model of Natural Texture Surrogates

Niklas Ludtke, Debapriya Das, Lucas Theis +1

Natural images can be viewed as patchworks of different textures, where the local image statistics is roughly stationary within a small neighborhood but otherwise varies from regio…