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Leon A. Gatys
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Image style transfer using convolutional neural networks
LA Gatys, AS Ecker, M Bethge
Proceedings of the IEEE conference on computer vision and pattern …, 2016
8752*2016
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in neural information processing systems 28, 2015
16772015
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
641*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
3402017
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
3232019
Texture and art with deep neural networks
LA Gatys, AS Ecker, M Bethge
Current opinion in neurobiology 46, 178-186, 2017
902017
What does it take to generate natural textures?
I Ustyuzhaninov, W Brendel, L Gatys, M Bethge
International conference on learning representations, 2016
79*2016
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
592017
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
472019
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
442019
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
302018
Machine learning assisted image prediction
CE Guestrin, LA Gatys, SV Joshi, GM Larsson, KR Watson, S Sridhar, ...
US Patent 11,386,355, 2022
252022
Synthesising dynamic textures using convolutional neural networks
CM Funke, LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1702.07006, 2017
212017
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
192017
Modeling patterns of smartphone usage and their relationship to cognitive health
J Rauber, EB Fox, LA Gatys
Machine Learning for Health Workshop, NeurIPS 2019, 2019
82019
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
62017
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
62015
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
AC Miller, LA Gatys, J Futoma, E Fox
Machine Learning for Healthcare Conference, 308-336, 2021
52021
Texture synthesis and style transfer using perceptual image representations from convolutional neural networks
LA Gatys
Tübingen, 2017
52017
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
12018
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