activity
20162021
most citedSynthesising Dynamic Textures using Convolutional Neural Networks

13 citations · 31 across the 4 of their papers we have counts for

collaborators

7 papers

stat.ML20212 cited

Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance

Andrew C. Miller, Leon A. Gatys, Joseph Futoma +1

Machine learning models now commonly developed to screen, diagnose, or predict health conditions are evaluated with a variety of performance metrics. An important first ste…

cs.LG20193 cited

Modeling patterns of smartphone usage and their relationship to cognitive health

Jonas Rauber, Emily B. Fox, Leon A. Gatys

The ubiquity of smartphone usage in many people's lives make it a rich source of information about a person's mental and cognitive state. In this work we analyze 12 weeks of phone…

cs.CV2018

Diverse feature visualizations reveal invariances in early layers of deep neural networks

Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys +2

Visualizing features in deep neural networks (DNNs) can help understanding their computations. Many previous studies aimed to visualize the selectivity of individual units by findi…

cs.CV201713 cited

Guiding human gaze with convolutional neural networks

Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis +1

The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human atte…

cs.CV201713 cited

Synthesising Dynamic Textures using Convolutional Neural Networks

Christina M. Funke, Leon A. Gatys, Alexander S. Ecker +1

Here we present a parametric model for dynamic textures. The model is based on spatiotemporal summary statistics computed from the feature representations of a Convolutional Neural…

cs.CV2016

Preserving Color in Neural Artistic Style Transfer

Leon A. Gatys, Matthias Bethge, Aaron Hertzmann +1

This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.). The original algorithm transforms an image to have the style of another given image.…