Meine Forschung konzentriert sich auf die visuelle Wahrnehmung von Materialien, Objekten und deren physikalischen Eigenschaften. Ich verwende eine Kombination aus Wahrnehmungs- und Verhaltensmethoden, Computergrafik, Bildanalyse und Computermodellierung (einschließlich Deep Learning). Mein Ziel ist es, die Hinweise und Berechnungen zu bestimmen, die das visuelle System verwendet, um den Eindruck von Oberflächen und Objekten zu erkennen, neuartige Reize zu kategorisieren und zu interpretieren, ihr zukünftiges Verhalten vorherzusagen und unsere physischen Interaktionen mit ihnen zu steuern.
Projektrelevante Veröffentlichungen
Cheeseman, J. R., Fleming, R. W., & *Schmidt, F.* (2022). Scale ambiguities in material recognition.
iScience, 25(3), 103970.
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Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2022). Deep neural models for color classification and color constancy.
Journal of Vision, 22(4), 17-17.
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Flachot, A., Akbarinia, A., Schütt, H.H., Fleming, R.W., Wichmann, F.A. & Gegenfurtner, K.R. (2022). Deep neural models for color discrimination and color constancy.
Journal of Vision, 22(4), 17-17.
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Hartmann, F., Maiello, G., Rothkopf, C. A., & Fleming, R. W. (2023). Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping.
JoVE (Journal of Visualized Experiments), (194), e64877.
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Klein, L. K., Maiello, G., Fleming, R. W., & Voudouris, D. (2021). Friction is preferred over grasp configuration in precision grip grasping.
Journal of Neurophysiology, 125(4), 1330-1338.
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Morgenstern, Y., Hartmann, F., Schmidt, F., Tiedemann, H., Prokott, E., Maiello, G., & Fleming, R. W. (2021). An image-computable model of human visual shape similarity.
PLOS Computational Biology, 17(6), e1008981.
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Morimoto, T., Akbarinia, A., Storrs, K., Cheeseman, J. R., Smithson, H. E., Gegenfurtner, K. R., & Fleming, R. W. (2023). Color and gloss constancy under diverse lighting environments.
Journal of Vision, 23(7), 8-8.
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Morimoto, T., Akbarinia, A., Storrs, K., Cheeseman, J. R., Smithson, H. E., Gegenfurtner, K. R., & Fleming, R. W. (2023). Color and gloss constancy under diverse lighting environments.
Journal of Vision, 23(7), 8-8.
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Preißler, L., Jovanovic, B., Munzert, J., Schmidt, F., Fleming, R.W. & Schwarzer, G. (2021). Effects of visual and visual-haptic perception of material rigidity on reaching and grasping in the course of development.
Acta Psychologica, 221, 103457.
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Prokott, E., & Fleming, R. W. (2022). Identifying specular highlights: Insights from deep learning.
Journal of Vision, 22(7), 6-6.
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Prokott, K. E., Tamura, H., & Fleming, R. W. (2021). Gloss perception: Searching for a deep neural network that behaves like humans.
Journal of Vision, 21(12), 14-14.
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Ritchie, J. B., Paulun, V. C., Storrs, K. R., & Fleming, R. W. (2021). Material perception for philosophers.
Philosophy Compass, e12777.
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Schmidt, F., Tiedemann, H., Fleming, R. W., & Morgenstern, Y. (2023). Inferring shape transformations in a drawing task.
Memory & Cognition.
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Stewart, E. E. M., & Fleming R. W. (2023). The eyes anticipate where an object will move based on its shape.
Current Biology, 33(17), R894-R895.
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Stewart, E. E., Hartmann, F. T., Morgenstern, Y., Storrs, K. R., Maiello, G., & Fleming, R. W. (2023). Mental object rotation based on two-dimensional visual representations.
Current Biology, 32(21), R1224-R1225.
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Storrs, K. R., & Fleming, R. W. (2021). Learning about the world by learning about images.
Current Directions in Psychological Science, 30(2), 120-128.
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Storrs, K. R., Anderson, B. L., & Fleming, R. W. (2021). Unsupervised learning predicts human perception and misperception of gloss.
Nature Human Behaviour, 1-16.
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Tamura, H., Prokott, K. E., & Fleming, R. W. (2022). Distinguishing mirror from glass: A “big data” approach to material perception.
Journal of vision, 22(4), 4-4.
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Tiedemann, H., Morgenstern, Y., Schmidt, F., & Fleming, R. W. (2022). One-shot generalization in humans revealed through a drawing task.
eLife 2022; 11:e75485.
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Tiedemann, H., Schmidt, F., & Fleming, R. W. (2022). Superordinate categorization based on the perceptual organization of parts.
Brain Sciences, 12(5), 667.
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Ältere projektrelevante Veröffentlichungen
Fleming RW & Schmidt F (2019). Getting ‘‘fumpered’’: Classifying objects by what has been done to them. Journal of Vision, 19(4):15
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Kunsberg B, Holtmann-Rice D, Alexander E, Cholewiak S, Fleming RW, Zucker SW. (2018). Colour, contours, shading and shape: flow interactions reveal anchor neighbourhoods.
Interface Focus 8: 20180019.
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Maiello G, Paulun VC, Klein LK, & Fleming RW. (2018). The Sequential-Weight Illusion.
i-Perception, 9(4), 1–6.
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Maiello, G., Paulun, V. C., Klein, L. K., & Fleming, R. W. (2019). Object visibility, not energy expenditure, accounts for spatial biases in human grasp selection. i-Perception.
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Schmidt F & Fleming RW (2018). Identifying shape transformations from photographs of real objects.
PLoS ONE 13(8): e0202115.
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Schmidt F, Phillips F, & Fleming RW (2019). Visual perception of shape-transforming processes: ‘Shape Scission’. Cognition, 189, 167-180.
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Schmidt, F., Hegele, M., & Fleming, R. W. (2017). Perceiving animacy from shape.
Journal of Vision, 17(11), 10-10.
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Vangorp P, Barla, P & Fleming RW (2017). The perception of hazy gloss.
Journal of Vision 17(5):19. doi: 10.1167/17.5.19
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Doerschner, K., Fleming, R. W., Yilmaz, O., Schrater, P. R., Hartung, B., & Kersten, D. (2011). Visual motion and the perception of surface material.
Current Biology, 21(23), 2010-2016.
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Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2020). Deep Neural Models for color discrimination and color constancy.
arXiv preprint arXiv:2012.14402.
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Fleming, R. W. (2014). Visual Perception of Materials and their Properties.
Vision Research, 94, 62-75.
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Fleming, R. W. (2017). Material Perception.
Annual Reviews of Vision Science, 3, 8.1–8.24.
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Fleming, R. W., & Storrs, K. R. (2019). Learning to see stuff.
Current Opinion in Behavioral Sciences, 30, 100-108.
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Klein, L. K., Maiello, G., Paulun, V. C., & Fleming, R. W. (2020). Predicting precision grip grasp locations on three-dimensional objects.
PLoS Computational Biology, 16(8): e1008081.
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Morgenstern, Y., Schmidt, F., & Fleming, R. W. (2019). One-shot categorization of novel object classes in humans.
Vision research, 165, 98-108.
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Morgenstern, Y., Schmidt, F., & Fleming, R. W. (2020). A dataset for evaluating one-shot categorization of novel object classes.
Data in brief, 29, 105302.

Muryy, A. A., Fleming, R. W., & Welchman, A. E. (2016). ‘Proto-rivalry’: how the binocular brain identifies gloss.
Proceedings of the Royal Society of London B, 283, 20160383.
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Paulun, V. C., & Fleming, R. W. (2020). Visually inferring elasticity from the motion trajectory of bouncing cubes.
Journal of Vision, 20(6), 6-6.
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Paulun, V. C., Buckingham, G., Goodale, M. A., & Fleming, R. W. (2019). The Material-Weight Illusion disappears or inverts in objects made of two materials.
Journal of Neurophysiology. 121: 996-1010
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Paulun, V., Schmidt, F., van Assen, J. J. R., & Fleming, R. W. (2017). Shape, motion and optical cues to stiffness of elastic objects.
Journal of Vision, 17(1):20, 1-22.
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Phillips, F. & Fleming, R. W. (2020). The Veiled Virgin illustrates visual segmentation of shape by cause.
Proceedings of the National Academy of Sciences, 117 (21), 11735-11743.
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Schmidt, F., & Fleming, R. W. (2016). Visual perception of complex shape-transforming processes.
Cognitive Psychology, 90, 48-70.
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Schmidt, F., Fleming, R. W., & Valsecchi, M. (2020). Softness and weight from shape: Material properties inferred from local shape features.
Journal of Vision, 20(6), 2-2.
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Schmidt, F., Kleis, J., Morgenstern, Y., & Fleming, R. W. (2020). The role of semantics in the perceptual organization of shape.
Scientific Reports, 10/, 22141.
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Schmidt, F., Paulun, V. C., van Assen, J. J. R., & Fleming, R. W. (2017). Inferring the stiffness of unfamiliar objects from optical, shape, and motion cues.
Journal of Vision, 17(3):18, 1-17.
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Schmidt, F., Spröte, P., & Fleming, R. W. (2016). Perception of shape and space across rigid transformations.
Vision Research, 126, 318-329.
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Spröte, P., & Fleming, R. W. (2016). Bent out of shape: The visual inference of non-rigid shape transformations applied to objects.
Vision Research,126, 330-346.
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Spröte, P., Schmidt, F., & Fleming, R.W. (2016). Visual perception of shape altered by inferred causal history.
Scientific Reports, 6:36245.
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Toscani, M., Milojevic, Z., Fleming, R. W., & Gegenfurtner, K. R. (2020). Color consistency in the appearance of bleached fabrics.
Journal of Vision, 20(4), 11-11.
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van Assen, J. J. R., & Fleming, R. W. (2016). Influence of optical material properties on the perception of liquids.
Journal of Vision, 16(15):12, 1–20.
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Van Assen, J. J. R., Barla, P., & Fleming, R. W. (2018). Visual features in the perception of liquids.
Current Biology, 28(3), 452-458.
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Van Assen, J. J. R., Nishida, S., & Fleming, R. W. (2020). Visual perception of liquids: Insights from deep neural networks.
PLoS Computational Biology, 16(8): e1008018.
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Vergne, R., Barla, P., Bonneau, G. P., & Fleming, R. (2016). Flow-Guided Warping for Image-Based Shape Manipulation.
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 35(4): 93.
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Zöller, A. C., Lezkan, A., Paulun, V. C., Fleming, R. W., & Drewing, K. (2018, June). Influence of Different Types of Prior Knowledge on Haptic Exploration of Soft Objects.
In International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (pp. 413-424). Springer, Cham.
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