Publications by M. Kuemmerer


L. A. Gatys, M. Kümmerer, T. S. A. Wallis, and M. Bethge
Guiding human gaze with convolutional neural networks
arXiv, 2017
#image manipulation, #saliency, #convolutional neural networks
URL, Supplement, BibTex

Journal Articles

M. Kuemmerer, T. Wallis, and M. Bethge
Information-theoretic model comparison unifies saliency metrics
Proceedings of the National Academy of Science, 112(52), 16054-16059, 2015
URL, DOI, BibTex
M. Kümmerer, T. Wallis, and M. Bethge
How close are we to understanding image-based saliency?
arXiv, 2014
URL, BibTex

Conference Papers

C. M. Funke, P. Vicol, K.-C. Wang, M. Kümmerer, R. Zemel, and M. Bethge
Disentanglement and Generalization Under Correlation Shifts
Conference on Lifelong Learning Agents (CoLLAs), 2022
W. Brendel, J. Rauber, M. Kümmerer, I. Ustyuzhaninov, and M. Bethge
Accurate, reliable and fast robustness evaluation
Advances in Neural Information Processing Systems 32, 2019, 2019
URL, BibTex
M. Kümmerer, T. S. A. Wallis, and M. Bethge
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics
The European Conference on Computer Vision (ECCV), 2018
URL, PDF, BibTex
M. Kümmerer, T. S. Wallis, L. A. Gatys, and M. Bethge
Understanding Low- and High-Level Contributions to Fixation Prediction
The IEEE International Conference on Computer Vision (ICCV), 2017
Code, URL, PDF, model webservice, BibTex
M. Kümmerer, L. Theis, and M. Bethge
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
ICLR Workshop, 2015
#saliency, #deep learning
URL, PDF, BibTex
University of Tuebingen BCCN CIN MPI