F. Sinz, J.-P. Lies, S. Gerwinn, and M. Bethge
Natter: A Python Natural Image Statistics Toolbox
Journal of Statistical Software, 61(5), 2014
#natural image statistics, #software, #python
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J.-P. Lies, R. M. Häfner, and M. Bethge
Slowness and sparseness have diverging effects on complex cell learning
PLoS Computational Biology, 10(3), 2014
#slowness, #sparsity, #complex cell, #natural image statistics, #unsupervised learning
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M. Stark, J.-P. Lies, M. Zillich, J. Wyatt, and B. Schiele
Functional Object Class Detection Based on Learned Affordance Cues
6th International Conference on Computer Vision Systems, 2008
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J.-P. Lies, R. M. Häfner, and M. Bethge
Slow Subspace Analysis: a New Algorithm for Invariance Learning
Neurowissenschaftliche Nachwuchskonferenz (NeNa), 2011
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J.-P. Lies, R. Häfner, and M. Bethge
What is the Goal of Complex Cell Coding in V1?
AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010
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J.-P. Lies, R. Häfner, and M. Bethge
What is the Goal of Complex Cell Coding in V1?
Frontiers in Computational Neuroscience, 2010
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J.-P. Lies, J. Wang, J. Sohl-Dickstein, B. Olshausen, and M. Bethge
Unsupervised learning of disparity maps from stereo images
Frontiers in Computational Neuroscience, 2009
DOI, BibTex

J.-P. Lies and M. Bethge
Image library for unsupervised learning of depth from stereo
Frontiers in Computational Neuroscience, 2008
DOI, BibTex