Marianne Maertens
Photo: SCIoI
Marianne Maertens’ research bridges the areas of computer science and psychology. Her key competencies are in experimental research methods and the study of human vision. To SCIoI, she will provide the empirical expertise to study perception, learning and (inter)action at the system level.
Projects
Marianne Maertens is member of:
Publications +
6984777
Maertens
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apa
50
date
desc
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19943
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Schmittwilken, L., Wichmann, F. A., & Maertens, M. (2024). Standard models of spatial vision mispredict edge sensitivity at low spatial frequencies. Vision Research, 222, 108450. https://doi.org/10.1016/j.visres.2024.108450
Schmittwilken, L., & Maertens, M. (2022). Fixational eye movements enable robust edge detection. Journal of Vision, 22(8), 5. https://doi.org/10.1167/jov.22.8.5
Schmittwilken, L., & Maertens, M. (2022, May). Medium spatial frequencies mask edges most effectively. Vision Sciences Society Annual Meeting (VSS). https://doi.org/10.1167/jov.22.14.4041
Schmittwilken, L., Matic, M., Maertens, M., & Vincent, J. (2022). Contributed Session III: BRENCH: An open-source framework for b(r)enchmarking brightness models. Journal of Vision, 22(3), 36. https://doi.org/10.1167/jov.22.3.36
Schmittwilken, L., & Maertens, M. (2022). Medium spatial frequencies mask edges most effectively. https://doi.org/10.13140/RG.2.2.11382.06726
Schmittwilken, L., Matic, M., Maertens, M., & Vincent, J. (2021, October). BRENCH: An open-source framework for b(r)enchmarking brightness models. Optica Fall Vision Meeting. https://doi.org/10.1167/jov.22.3.36
Best Paper Award (ECVP 2021)
