
Prof.
Roland W. Fleming, PhD
Speaker for Gießen
Justus-Liebig-Universität Gießen
FB 06 Psychologie und Sportwissenschaften
Otto-Behaghel-Straße 10
35394 Gießen
Short info
My research focusses on human visual perception of materials and objects.
Which visual cues does the brain use to identify the physical properties of things and stuff in our surroundings? Which learning processes shape the representations? How does spatiotemporal context alter our perception of surfaces and objects? How do we reason about and visually predict physical events, like bouncing objects or oozing liquids? How do our percepts evolve over time when viewing complex dynamical processes, and how do gain control and prediction contribute? How do we plan and execute effective interactions with objects and materials?
To answer questions like these, my lab uses a combination of visual psychophysics, motion tracking, computer graphics, image analysis and computational modelling including deep learning approaches.
Articles
Scale ambiguities in material recognition.
iScience, 25(3):103970.
Deep neural models for color classification and color constancy.
Journal of vision, 22(4), 17-17.
Effects of visual and visual-haptic perception of material rigidity on reaching and grasping in the course of development.
Acta Psychologica, 221, November, 103457.
Identifying specular highlights: Insights from deep learning.
Journal of vision, 22(7), 6-6.
Inferring shape transformations in a drawing task.
Memory & Cognition.
A simple optical flow model explains why certain object viewpoints are special.
bioRxiv,2023-10.
The eyes anticipate where an object will move based on its shape.
Current Biology, 33(17), R894-R895.
The eyes anticipate where an object will move based on its shape.
Current Biology, 33(17), R894-R895.
Mental object rotation based on two-dimensional visual representations.
Current Biology 32, R1201–R1225.
Unsupervised learning predicts human perception and misperception of gloss.
Nature Human Behaviour, 1-16.
Distinguishing mirror from glass: A “big data” approach to material perception.
Journal of vision, 22(4), 4-4.
One-shot generalization in humans revealed through a drawing task.
eLife, 11.
Superordinate Categorization Based on the Perceptual Organization of Parts.
Brain Sciences, 12, 667.