Kümmerer. M., Bethge, M. & Wallis, T. S. A. (2022). DeepGaze III: Modelling Free-Viewing Human Scanpaths with Deep Learning. Journal of Vision, 22(7).

Pedziwiatr, M. A., Kümmerer, M., Wallis, T. S. A., Bethge, M., & Teufel, C. (2022). Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps. Journal of Vision, 22(2), 9. doi: 10.1167/jov.22.2.9

Rideaux, R., West, R. K., Wallis, T. S. A., Bex, P. J., Mattingley, J. B., & Harrison, W. J. (2022). Spatial structure, phase, and the contrast of natural images. Journal of Vision, 22(1), 4.


Zimmermann, R. S., Borowski, J., Geirhos, R., Bethge, M., Wallis, T. S. A., & Brendel, W. (2021). How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Neural Information Processing Systems (NeurIPS). arXiv: 2106.12447

Funke, C. M., Borowski, J., Stosio, K., Brendel, W., Wallis, T. S. A., & Bethge, M. (2021). Five points to check when comparing visual perception in humans and machines. Journal of Vision, 21(3), 16. doi: 10.1167/jov.21.3.16

Lukashova-Sanz, O., Wahl, S., Wallis, T. S. A., & Rifai, K. (2021). The Impact of Shape-Based Cue Discriminability on Attentional Performance. Vision, 5(2), 18. doi: 10.3390/vision5020018

Borowski, J., Zimmermann, R. S., Schepers, J., Geirhos, R., Wallis, T. S. A., Bethge, M., & Brendel, W. (2021). Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualizations. International Conference on Learning Representations (ICLR). arXiv: 2010.12606

Pedziwiatr, M. A., Kümmerer. M., Wallis, T. S. A., Bethge, M. & Teufel, C. (2021). Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations. Cognition, 206 (104465). doi: 10.1016/j.cognition.2020.104465


Tangemann, M., Kümmerer. M., Wallis, T. S. A. & Bethge, M. (2020). Measuring the importance of temporal features in video saliency. The European Conference on Computer Vision (ECCV). Springer International Publishing. doi: 10.1007/978-3-030-58604-1_40.


Thomas SA Wallis, Christina M Funke, Alexander S Ecker, Leon A Gatys, Felix A Wichmann, Matthias Bethge (2019). Image content is more important than Bouma’s Law for scene metamers. ELife, 8,e42512. doi: 10.7554/eLife.42512


Kümmerer. M., Wallis, T.S.A. & Bethge, M. (2018). Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. The European Conference on Computer Vision (ECCV). arXiv: 1704.08615


Wallis, T.S.A., Funke, C.M., Ecker, A.S., Gatys, L.A., Wichmann, F.A., & Bethge, M. (2017). A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision, 17(12):5. doi: 10.1167/17.12.5
[preprint], [code and raw data], [stimuli]

Kümmerer, M., Wallis, T.S.A., Gatys, L.A., & Bethge, M. (2017). Understanding Low- and High-Level Contributions to Fixation Prediction. The IEEE International Conference on Computer Vision (ICCV), 2017. doi: 10.1109/ICCV.2017.513
[download models], [web service]

Wallis, T.S.A., Tobias, S., Bethge, M. & Wichmann, F.A. (2017). Detecting distortions of peripherally-presented letter stimuli under crowded conditions. Attention, Perception and Psychophysics. doi: 10.3758/s13414-016-1245-x
[code and data], [correction]


Wallis, T.S.A., Bethge, M. & Wichmann, F. A. (2016). Testing models of peripheral encoding using metamerism in an oddity paradigm. Journal of Vision, 16(2), 4. doi: 10.1167/16.2.4
[code], [data and materials]


Kümmerer. M., Wallis, T.S.A. & Bethge, M. (2015). Information-theoretic model comparison unifies saliency metrics. Proceedings of the National Academy of Sciences 112(52), 16054–16059. doi: 10.1073/pnas.1510393112

Wallis, T.S.A., Dorr, M.A.C. & Bex, P.J. (2015). Sensitivity to gaze-contingent contrast increments in naturalistic movies: An exploratory report and model comparison. Journal of Vision, 15(8), 3. doi: 10.1167/15.8.3
[code and data]


Wallis, T.S.A., Taylor, C.P., Wallis, J., Jackson, M.L. & Bex, P.J. (2014). Characterisation of field loss based on microperimetry is predictive of face recognition difficulties. Investigative Ophthalmology & Visual Science, 55(1), 142–153. doi: 10.1167/iovs.13-12420
[supplementary material (opens in new tab)], [code and data]


Wallis, T.S.A. & Bex, P.J. (2012). Image correlates of crowding in natural scenes. Journal of Vision, 12(7): 6, 1–19. doi: 10.1167/12.7.6


Wallis, T.S.A. & Bex, P.J. (2011). Visual crowding is correlated with awareness. Current Biology, 21(3): 254–258. doi: 10.1016/j.cub.2011.01.011
[supplementary material (opens in new tab)]


Arnold, D.H., Erskine, H., Roseboom, W. & Wallis, T.S.A. (2010). Spatio-Temporal Rivalry: A perceptual conflict involving illusory moving and static forms. Psychological Science, 21(5): 692–9. doi: 10.1177/0956797610366544


Wallis, T.S.A., Williams, M.A. & Arnold, D.H. (2009). Pre-exposure to moving form enhances static form sensitivity. PLoS ONE, 4(12): e8324. doi: 10.1371/journal.pone.0008324

Wallis, T.S.A. & Arnold, D.H. (2009). Motion-induced blindness and motion streak suppression. Current Biology, 19(4): 325–329. doi: 10.1016/j.cub.2008.12.053


Wallis, T.S.A. & Arnold, D.H. (2008). Motion-induced blindness is not tuned to retinal speed. Journal of Vision, 8(2): 11, 1–7. doi: 10.1167/8.2.11

Arnold, D.H., Birt, A., & Wallis, T.S.A. (2008). Perceived Size and Spatial Coding. Journal of Neuroscience, 28(23): 5954–5958. doi: 10.1523/JNEUROSCI.0578-08.2008

Arnold, D.H., Law, P. & Wallis, T.S.A. (2008). Binocular Switch Suppression: A new method for persistently rendering the visible ‘invisible’. Vision Research, 48(8): 994–1001. doi: 10.1016/j.visres.2008.01.020


Wallis, T.S.A. & Horswill, M.S. (2007). Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test. Accident Analysis & Prevention, 39(6), 1177-1185. doi: 10.1016/j.aap.2007.03.003

Arnold, D.H., Grove, P.M. & Wallis, T.S.A. (2007). Staying focussed: A functional account of perceptual suppression during binocular rivalry. Journal of Vision, 7(7):7, 1–8. doi: 10.1167/7.7.7