Kummerer, Matthias

9 publications

ICCV 2025 Modeling Saliency Dataset Bias Matthias Kümmerer, Harneet Singh Khanuja, Matthias Bethge

NeurIPS 2024 Object Segmentation from Common Fate: Motion Energy Processing Enables Human-like Zero-Shot Generalization to Random Dot Stimuli Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

NeurIPS 2023 RDumb: A Simple Approach That Questions Our Progress in Continual Test-Time Adaptation Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge

ICCV 2021 DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge

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

NeurIPS 2019 Accurate, Reliable and Fast Robustness Evaluation Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge

ECCV 2018 Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics Matthias Kummerer, Thomas S. A. Wallis, Matthias Bethge

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

ICLR 2015 Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet Matthias Kümmerer, Lucas Theis, Matthias Bethge