Publications by Leon Gatys

Unpublished Papers

L. A. Gatys, M. Kümmerer, T. S. A. Wallis, and M. Bethge
Guiding human gaze with convolutional neural networks
arXiv, 2017
#image manipulation, #saliency, #convolutional neural networks
URL, Supplement, BibTex

Journal Articles

T. S. A. Wallis, C. M. Funke, A. S. Ecker, L. A. Gatys, F. A. Wichmann, and M. Bethge
A Parametric Texture Model Based on Deep Convolutional Features Closely Matches Texture Appearance for Humans
Journal of Vision, 17(12), 2017
#visual textures, #style transfer, #perceptual image synthesis, #cnns, #psychophysics, #appearance
Code, URL, DOI, Stimuli, Preprint, BibTex

L. A. Gatys, A. S. Ecker, and M. Bethge
Texture and art with deep neural networks
Current Opinion in Neurobiology, 46, 178-186, 2017
#visual textures, #style transfer, #perceptual image synthesis, #cnns, #computational neuroscience
URL, PDF, BibTex

L. A. Gatys, A. S. Ecker, T. Tchumatchenko, and M. Bethge
Synaptic unreliability facilitates information transmission in balanced cortical populations
Physical Review E, 91(6), 62707, 2015
#synaptic noise, #balanced state, #neural population coding
Code, URL, DOI, PDF, BibTex

Conference Papers

M. Kümmerer, T. S. Wallis, L. A. Gatys, and M. Bethge
Understanding Low- and High-Level Contributions to Fixation Prediction
The IEEE International Conference on Computer Vision (ICCV), 2017
PDF, model webservice, BibTex

L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman
Controlling Perceptual Factors in Neural Style Transfer
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
#texture transfer, #artistic style, #user control, #convolutional neural networks
Code, URL, Supplementary Material, BibTex

I. Ustyuzhaninov*, W. Brendel*, L. Gatys, and M. Bethge
What does it take to generate natural textures?
International Conference on Learning Representations, 2017
#deep learning, #texture synthesis, #random networks
Code, URL, PDF, Poster, BibTex

L. A. Gatys, A. S. Ecker, and M. Bethge
Image Style Transfer Using Convolutional Neural Networks
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
#texture transfer, #artistic style, #separating content from style, #convolutional neural networks
Code, URL, BibTex

L. A. Gatys, A. S. Ecker, and M. Bethge
Texture Synthesis Using Convolutional Neural Networks
Advances in Neural Information Processing Systems 28, 2015
#texture synthesis, #ventral stream, #convolutional neural networks, #deep learning
Code, URL, PDF, Example textures, BibTex

Technical Reports

C. M. Funke, L. A. Gatys, A. S. Ecker, and M. Bethge
Synthesising Dynamic Textures using Convolutional Neural Networks
arXiv, 2017
#texture synthesis, #dynamic textures
Code, URL, BibTex

L. A. Gatys, M. Bethge, A. Hertzmann, and E. Shechtman
Preserving Color in Neural Artistic Style Transfer
arXiv, 2016
#texture transfer, #artistic style, #color preservation, #convolutional neural networks
URL, BibTex

Abstracts

L. A. Gatys, A. S. Ecker, T. Tchumatchenko, and M. Bethge
Synaptic unreliability facilitates information transmission in balanced cortical populations
Bernstein Conference, 2014
#synaptic noise, #balanced state, #neural population coding
DOI, Talk, BibTex

L. A. Gatys, A. S. Ecker, T. Tchumatchenko, and M. Bethge
How much signal is there in the noise?
Computational and Systems Neuroscience, 2014
#synaptic noise, #balanced state, #neural population coding
Poster, BibTex

L. A. Gatys, A. S. Ecker, T. Tchumatchenko, and M. Bethge
Information Coding in the Variance of Neural Activity
Bernstein Conference, 2013
#information transmission, #balanced state, #variance coding
DOI, Poster, BibTex

Preprint versions of published articles

S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, and A. S. Ecker
Deep convolutional models improve predictions of macaque V1 responses to natural images
bioRxiv, 2017
URL, DOI, BibTex