Lucas Theis

Alumni of the Research Group Computational Vision and Neuroscience

Main Focus

I am a graduate student in the computational vision and neuroscience group of .

Research interests:

A lot of evidence from theoretical considerations and biological observations points to the fact that a good representation for natural images should be hierarchically organized. Yet, the best known models of natural images are based on representations which are better described as shallow. My research aims at resolving this discrepancy by developing a better understanding of the regularities found in natural images and finding strategies for exploiting these in a hierarchical manner.

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