Matthias Kümmerer

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Object Class Recognition

Prediction Accuracy

Saliency Detection

Top Venues

Publications

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