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
LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1505.07376, 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, L Gatys, M Bethge
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
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
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
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
Texture synthesis and style transfer using perceptual image representations from convolutional neural networks
LA Gatys
Eberhard Karls Universität Tübingen, 2017
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
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