Felix Wichmann is a Professor for Neural Information Processing at the Eberhard Karls Universität Tübingen and an adjunct senior research scientist at the Max Planck Institute for Intelligent Systems. His laboratory investigates human perception by combining psychophysical experiments with computational modelling. Their research foci are: First, to improve their image-based model of early spatial vision. Second, to connect early spatial vision with mid-level vision: perceived lightness, brightness and contrast in relation to surface reflectance and illumination in images of real scenes. Third, they investigate differences and similarities between deep convolutional neural networks and human object recognition. Fourth, they explore connections between causality from a perceptual as well as a machine learning perspective.
Felix Wichmann received his PhD in Experimental Psychology from the University of Oxford. After postdoctoral research at the University of Leuven, Belgium, he worked as a research scientist in the Empirical Inference Department at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. After being an Associate Professor at the Technical University of Berlin, he is Full Professor at the Eberhard Karls Universität Tübingen since 2011.