How close are we to understanding image-based saliency? - Matthias Kümmerer; Thomas Wallis 001; Matthias Bethge (CoRR, 2014)

DeepGaze II: Reading fixations from deep features trained on object recognition. - Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge (CoRR, 2016)

Understanding Low- and High-Level Contributions to Fixation Prediction. - Matthias Kümmerer; Thomas S. A. Wallis; Leon A. Gatys; Matthias Bethge (ICCV, 2017)

Saliency Benchmarking: Separating Models, Maps and Metrics. - Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge (CoRR, 2017)

Guiding human gaze with convolutional neural networks. - Leon A. Gatys; Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge (CoRR, 2017)

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. - Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge (ECCV (16), 2018)

Measuring the Importance of Temporal Features in Video Saliency. - Matthias Tangemann; Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge (ECCV (28), 2020)

The Notorious Difficulty of Comparing Human and Machine Perception. - Christina M. Funke; Judy Borowski; Karolina Stosio; Wieland Brendel; Thomas S. A. Wallis; Matthias Bethge (CoRR, 2020)

Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations. - Judy Borowski; Roland S. Zimmermann; Judith Schepers; Robert Geirhos; Thomas S. A. Wallis; Matthias Bethge; Wieland Brendel (CoRR, 2020)

Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization. - Judy Borowski; Roland Simon Zimmermann; Judith Schepers; Robert Geirhos; Thomas S. A. Wallis; Matthias Bethge; Wieland Brendel (ICLR, 2021)

How Well do Feature Visualizations Support Causal Understanding of CNN Activations? - Roland S. Zimmermann; Judy Borowski; Robert Geirhos; Matthias Bethge; Thomas S. A. Wallis; Wieland Brendel (NeurIPS, 2021)

Recent consumer OLED monitors can be suitable for vision science. - Tarek Abu Haila; Korbinian Kunst; Tran Quoc Khanh; Thomas S. A. Wallis (CoRR, 2024)