Matthias Kümmerer

According to our database, Matthias Kümmerer authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scale Learning in Scale-Equivariant Convolutional Networks.

Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

RDumb: A simple approach that questions our progress in continual test-time adaptation.

Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Object Learning via Common Fate.

Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Disentanglement and Generalization Under Correlation Shifts.

Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling.

Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge

CoRR, 2021

State-of-the-Art in Human Scanpath Prediction.

Matthias Kümmerer, Matthias Bethge

CoRR, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

How well can we predict where people look in images?

Matthias Kümmerer

PhD thesis, 2020

Measuring the Importance of Temporal Features in Video Saliency.

Matthias Tangemann, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Accurate, reliable and fast robustness evaluation.

Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics.

Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Guiding human gaze with convolutional neural networks.

Leon A. Gatys, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge

CoRR, 2017

Saliency Benchmarking: Separating Models, Maps and Metrics.

Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge

CoRR, 2017

Understanding Low- and High-Level Contributions to Fixation Prediction.

Matthias Kümmerer, Thomas S. A. Wallis, Leon A. Gatys, Matthias Bethge

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

DeepGaze II: Reading fixations from deep features trained on object recognition.

Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge

CoRR, 2016

2015

Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet.

Matthias Kümmerer, Lucas Theis, Matthias Bethge

Proceedings of the 3rd International Conference on Learning Representations, 2015

2014

How close are we to understanding image-based saliency?

Matthias Kümmerer, Thomas Wallis, Matthias Bethge

CoRR, 2014