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Claudio Michaelis
Claudio Michaelis
Ellis Institute Tübingen
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel
International Conference on Learning Representations (ICLR 2019), 2018
32892018
Shortcut Learning in Deep Neural Networks
R Geirhos*, JH Jacobsen*, C Michaelis*, R Zemel, W Brendel, M Bethge, ...
Nature Machine Intelligence, 2020
22362020
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
C Michaelis*, B Mitzkus*, R Geirhos*, E Rusak*, O Bringmann, AS Ecker, ...
Machine Learning for Autonomopus Driving Workshop, NeurIPS 2019, 2019
5362019
Optimizing Rank-based Metrics with Blackbox Differentiation
M Rolínek, V Musil, A Paulus, M Vlastelica, C Michaelis, G Martius
Computer Vision and Pattern Recognition (CVPR 2020), 2019
1162019
One-Shot Instance Segmentation
C Michaelis, I Ustyuzhaninov, M Bethge, AS Ecker
arXiv preprint arXiv:1811.11507, 2018
1062018
One-Shot Segmentation in Clutter
C Michaelis, M Bethge, AS Ecker
International Conference on Machine Learning (ICML 2018), 2018
462018
Contrasting action and posture coding with hierarchical deep neural network models of proprioception
KJ Sandbrink, P Mamidanna, C Michaelis, M Bethge, MW Mathis, ...
BioRxiv, 2020.05. 06.081372, 2022
31*2022
One-shot Texture Segmentation
I Ustyuzhaninov, C Michaelis, W Brendel, M Bethge
arXiv preprint arXiv:1807.02654, 2018
182018
Closing the Generalization Gap in One-Shot Object Detection
C Michaelis, M Bethge, AS Ecker
arXiv preprint arXiv:2011.04267, 2020
7*2020
Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs
R Geirhos, P Rubisch, J Rauber, CRM Temme, C Michaelis, W Brendel, ...
19th Annual Meeting of the Vision Sciences Society (VSS 2019), 2019
42019
Unintended cue learning: Lessons for deep learning from experimental psychology
R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ...
20th Annual Meeting of the Vision Sciences Society (VSS 2020), 2020
12020
Towards goal-driven deep neural network models to elucidate human arm proprioception
P Mamidanna, C Michaelis, A Mathis, M Bethge
28th Annual Meeting of the Society for the Neural Control of Movement (NCM …, 2018
12018
Data for Contrasting action and posture coding with hierarchical deep neural network models of proprioception
K Sandbrink, P Mamidanna, C Michaelis, M Bethge, M Mathis, A Mathis
Zenodo, 2024
2024
Iterative weakly supervised learning for novel class object detection
D Mandić, W Brendel, C Michaelis
2023
Why Machine Learning Models Fail: A Benchmarking Perspective
C Michaelis
PhD Thesis, Universität Tübingen, 2022
2022
Comparing Search Strategies of Humans and Machines in Clutter
C Michaelis, M Weller, C Funke, AS Ecker, TSA Wallis, M Bethge
19th Annual Meeting of the Vision Sciences Society (VSS 2019), 2019
2019
Comparing Humans and Deep Neural Networks on Visual Shape Judgments in Cluttered Images
C Funke, T Wallis, J Borowski, C Michaelis, A Ecker, M Bethge
18th Annual Meeting of the Vision Sciences Society (VSS 2018), 2018
2018
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