M Sc Lukas Huber

• Visual object recognition
• Perceptual categorisation
• Mental Imagery
• Computer vision
• Application of multidimensional scaling methods

Google Scholar

Successful recognition and categorisation both demand the availability of robust mental representations of objects. In contrast to machines, humans learn such representations from relatively little visual input. In his PhD project, Lukas uses a combination of psychophysical experiments and comparison-based machine learning methods to investigate the process in which such representations are learned. More specifically, he studies how brain-internal generative processes, such as mental imagery, may act as a biological form of data augmentation that facilitates the data-efficient acquisition of robust object representations.
 
Lukas received his B.Sc. and M.Sc. in Psychology from the University of Bern, Switzerland. His PhD project, "Creating to perceive: The role of mental imagery in visual object recognition and categorisation", is founded by a career grant from the Swiss National Science Foundation (SNSF) and is jointly supervised by  Felix Wichmann (Neural Information Processing, University of Tübingen) and Fred Mast (Cognitive Psychology, Perception and Research Methods, University of Bern).