Matthias Kümmerer

24 papers A* 5Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Modeling Saliency Dataset Bias. CoRR Matthias Kümmerer, Harneet Khanuja, Matthias Bethge
2024	A*	`conf`	Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. NeurIPS Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024	J	`jnl`	Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli. CoRR Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024	—	`conf`	Scale Learning in Scale-Equivariant Convolutional Networks. VISIGRAPP (2): VISAPP Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert
2023	A*	`conf`	RDumb: A simple approach that questions our progress in continual test-time adaptation. NeurIPS Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	J	`jnl`	RDumb: A simple approach that questions our progress in continual test-time adaptation. CoRR Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
2023	—	`conf`	Unsupervised Object Learning via Common Fate. CLeaR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2022	—	`conf`	Disentanglement and Generalization Under Correlation Shifts. CoLLAs Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
2021	J	`jnl`	Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. CoRR Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021	A*	`conf`	DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. ICCV Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge
2021	J	`jnl`	Disentanglement and Generalization Under Correlation Shifts. CoRR Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
2021	J	`jnl`	State-of-the-Art in Human Scanpath Prediction. CoRR Matthias Kümmerer, Matthias Bethge
2021	J	`jnl`	Unsupervised Object Learning via Common Fate. CoRR Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter V. Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2020	—	`—`	How well can we predict where people look in images? Matthias Kümmerer
2020	—	`conf`	Measuring the Importance of Temporal Features in Video Saliency. ECCV (28) Matthias Tangemann, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2019	A*	`conf`	Accurate, reliable and fast robustness evaluation. NeurIPS Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
2019	J	`jnl`	Accurate, reliable and fast robustness evaluation. CoRR Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
2018	—	`conf`	Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics. ECCV (16) Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2017	J	`jnl`	Guiding human gaze with convolutional neural networks. CoRR Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2017	J	`jnl`	Saliency Benchmarking: Separating Models, Maps and Metrics. CoRR Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2017	A*	`conf`	Understanding Low- and High-Level Contributions to Fixation Prediction. ICCV Matthias Kümmerer, Thomas S. A. Wallis, Leon A. Gatys, Matthias Bethge
2016	J	`jnl`	DeepGaze II: Reading fixations from deep features trained on object recognition. CoRR Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge
2015	—	`conf`	Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet. ICLR (Workshop) Matthias Kümmerer, Lucas Theis, Matthias Bethge
2014	J	`jnl`	How close are we to understanding image-based saliency? CoRR Matthias Kümmerer, Thomas Wallis, Matthias Bethge