Leon A. Gatys
TitleCited byYear
Image style transfer using convolutional neural networks
LA Gatys, AS Ecker, M Bethge
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2133*2016
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in neural information processing systems, 262-270, 2015
530*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
184*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
722017
What does it take to generate natural textures?
I Ustyuzhaninov, W Brendel, LA Gatys, M Bethge
ICLR, 2017
34*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
292019
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
232017
Texture and art with deep neural networks
LA Gatys, AS Ecker, M Bethge
Current opinion in neurobiology 46, 178-186, 2017
152017
Synthesising dynamic textures using convolutional neural networks
CM Funke, LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1702.07006, 2017
112017
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
52019
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
52018
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
52015
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
42017
Towards matching peripheral appearance for arbitrary natural images using deep features
T Wallis, C Funke, A Ecker, L Gatys, F Wichmann, M Bethge
17th Annual Meeting of the Vision Sciences Society (VSS 2017), 786-786, 2017
22017
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
2019
Method and device for image synthesis
M Bethge, L Gatys
US Patent App. 15/880,750, 2018
2018
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
2018
Predicting Fixations From Deep and Low-Level Features
M Kümmerer, TSA Wallis, LA Gatys, M Bethge
2017
Texture synthesis using random shallow neural networks
I Ustyuzhaninov, W Brendel, L Gatys, M Bethge
Bernstein Conference 2016, 233-234, 2016
2016
Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks
TSA Wallis, AS Ecker, LA Gatys, CM Funke, FA Wichmann, M Bethge
16th Annual Meeting of the Vision Sciences Society (VSS 2016), 230-230, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–20