Funke CM, Borowski J, Stosio K, Brendel W, Wallis TSA, & 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
Kümmerer M, Bethge M, & Wallis TSA (2022). DeepGaze III: Modeling free-viewing human scanpaths with deep learning. Journal of Vision, 22(5), 7. DOI: 10.1167/jov.22.5.7
Kümmerer M, Wallis TSA, & Bethge M (2018). Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), European Conference on Computer Vision – ECCV 2018, 11220, 798–814. Springer International Publishing. DOI: 10.1007/978-3-030-01270-0_4
Kümmerer M, Wallis TSA, Gatys LA, & Bethge M (2017). Understanding Low- and High-Level Contributions to Fixation Prediction. 2017 IEEE International Conference on Computer Vision (ICCV), 4799–4808. DOI: 10.1109/ICCV.2017.513
Pedziwiatr MA, Kümmerer M, Wallis TSA, 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
Wallis TSA, Bethge M, & Wichmann FA (2016). Testing models of peripheral encoding using metamerism in an oddity paradigm. Journal of Vision, 16(2), 4. DOI: 10.1167/16.2.4
Wallis TSA, Dorr M, & Bex PJ (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
Wallis TSA, Funke CM, Ecker AS, Gatys LA, Wichmann FA, & Bethge M (2019). Image content is more important than Bouma’s Law for scene metamers. ELife, 8, e42512. DOI: 10.7554/eLife.42512
Wallis TSA, Funke CM, Ecker AS, Gatys LA, Wichmann FA, & 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
Zimmermann RS, Borowski J, Geirhos R, Bethge M, Wallis TSA, & Brendel W (2021). How well do feature visualizations support causal understanding of CNN activations? Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS). URL: https://openreview.net/forum?id=vLPqnPf9k0
