Leon A. Gatys
Cited by
Cited by
Image style transfer using convolutional neural networks
LA Gatys, AS Ecker, M Bethge
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in neural information processing systems, 262-270, 2015
Controlling perceptual factors in neural style transfer
LA Gatys, AS Ecker, M Bethge, A Hertzmann, E Shechtman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Understanding low-and high-level contributions to fixation prediction
M Kummerer, TSA Wallis, LA Gatys, M Bethge
Proceedings of the IEEE International Conference on Computer Vision, 4789-4798, 2017
Deep convolutional models improve predictions of macaque V1 responses to natural images
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
PLoS computational biology 15 (4), e1006897, 2019
What does it take to generate natural textures?
I Ustyuzhaninov, W Brendel, LA Gatys, M Bethge
ICLR (Poster), 2017
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
Journal of vision 17 (12), 5-5, 2017
Texture and art with deep neural networks
LA Gatys, AS Ecker, M Bethge
Current opinion in neurobiology 46, 178-186, 2017
Image content is more important than Bouma’s Law for scene metamers
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
ELife 8, e42512, 2019
Synthesising dynamic textures using convolutional neural networks
CM Funke, LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1702.07006, 2017
Diverse feature visualizations reveal invariances in early layers of deep neural networks
SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker
Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
App usage predicts cognitive ability in older adults
ML Gordon, L Gatys, C Guestrin, JP Bigham, A Trister, K Patel
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
Method and device for image synthesis
M Bethge, L Gatys
US Patent App. 15/880,750, 2018
Towards matching peripheral appearance for arbitrary natural images using deep features
T Wallis, C Funke, A Ecker, L Gatys, F Wichmann, M Bethge
Journal of Vision 17 (10), 786-786, 2017
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
Machine learning assisted image prediction
CE Guestrin, LA Gatys, SV Joshi, GM Larsson, KR Watson, S Sridhar, ...
US Patent App. 16/706,578, 2020
Modeling patterns of smartphone usage and their relationship to cognitive health
J Rauber, EB Fox, LA Gatys
arXiv preprint arXiv:1911.05683, 2019
A parametric texture model
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
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