Publications

Schmittwilken, L., Maertens, M. and Vincent J. (2023). stimupy: A Python package for creating stimuli in vision science. Journal of Open Source Software, 8(86), 5321, doi:10.21105/joss.05321.

Schmittwilken, L. and Maertens, M. (2022). Fixational eye movements enable robust edge detection. Journal of Vision 22, doi:10.1167/jov.22.8.5.

Aguilar, G. and Maertens, M. (2022). Conjoint measurement of perceived transparency and perceived contrast in variegated checkerboards. Journal of Vision 22, doi:10.1167/jov.22.2.2.

Aguilar, G. and Maertens, M. (2020). Toward reliable measurements of perceptual scales in multiple contexts. Journal of Vision, 20, doi:10.1167/jov.20.4.19.

Wiebel, C., Aguilar, G. and Maertens, M. (2017). Maximum-likelihood difference scales represent perceptual magnitudes and predict appearance matches. Journal of Vision, 17, doi:10.1167/17.4.1. --> Data and analysis code: https://osf.io/58jz3/.

Aguilar, G., Wichmann, F. and Maertens, M. (2017). Comparing sensitivity estimates from MLDS and forced-choice methods in a slant-from-texture experiment. Journal of Vision, 17, doi:10.1167/17.1.37. --> Data: https://osf.io/d6zf9/.

Wichmann, F., Janssen, D., Geirhos, R., Aguilar, G., Schütt, H., Maertens, M. and Bethge, M. (2017). Careful methods and measurements for comparisons between men and machines. Human Vision and Electronic Imaging Conference, at IS&T Electronic Imaging.

Puhlmann, S., Heinemann, F., Brock, O. and Maertens, M. (2016). A Compact Representation of Human Single-Object Grasping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Wiebel, C., Singh, M. and Maertens, M. (2016). Testing the role of Michelson contrast for the perception of surface lightness. Journal of Vision, 16(11), 1-19, doi:10.1167/16.11.17. --> Data: https://osf.io/58jz3/.

Wang, X., Lindlbauer, D., Lessig, C., Maertens, M. and Alexa, M. (2016). Measuring Visual Salience of 3D Printed Objects. IEEE Computer Graphics and Applications Special Issue on Quality Assessment and Perception in Computer Graphics.

Betz, T., Wichmann, F.A., Shapley, R. and Maertens, M. (2015). Noise masking of White's illusion exposes the weakness of current spatial filtering models of lightness perception. Journal of Vision, 15(14), 1-17. doi:10.1167/15.14.1. --> Data and code: https://github.com/computational-psychology/betz2015_noise

Betz, T., Wichmann, F.A., Shapley, R. and Maertens, M. (2015). Testing the role of luminance edges in White's illusion with contour adaptation. Journal of Vision, 15(11), 1-16. doi:10.1167/15.11.14. --> Data and code: https://github.com/computational-psychology/betz2015_contour

Maertens, M., Wichmann, F.A. and Shapley, R. (2015). Context affects lightness at the level of surfaces, Journal of Vision, 15(1), doi:10.1167/15.1.15.

Eppner, C., Deimel, R., Alvarez-Ruiz, J., Maertens, M., and Brock, O. (2015). Exploitation of environmental constraints in human and robotic grasping. The International Journal of Robotics Research, 34(7), 1021–1038.

Heinemann, F., Puhlmann, S., Eppner, C. Alvarez-Ruiz, J., Maertens, M. and Brock, O. (2015). A taxonomy of human grasping behavior suitable for transfer to robotic hands. Robotics and Automation (ICRA), IEEE International Conference, 4286-4291.

Zeiner, K. and Maertens, M. (2014). Linking luminance and lightness by global contrast normalization, Journal of Vision, 14(7), doi:10.1167/14.7.3. --> Code: https://github.com/computational-psychology/zeiner_maertens2014.

Maertens, M. and Wichmann, F.A. (2013). When luminance increment thresholds depend on apparent lightness, Journal of Vision, 13(6), doi:10.1167/13.6.21.

Maertens, M. and Shapley, R. (2013). Relating appearance to neural activity: linking assumptions for studying the perception of lightness in naturalistic contexts, Visual Neuroscience, 24, 1-10.

Deimel, R., Eppner, C., Alvarez-Ruiz, J., Maertens, M. and Brock, O. (2013). Exploitation of environmental constraints in human and robotic grasping. International Symposium of Robotic Research, 1-16.