Claudio Michaelis
Claudio Michaelis
Verified email at uni-tuebingen.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
2352018
One-Shot Segmentation in Clutter
C Michaelis, M Bethge, AS Ecker
International Conference on Machine Learning (ICML 2018), 2018
162018
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
82019
One-Shot Instance Segmentation
C Michaelis, I Ustyuzhaninov, M Bethge, AS Ecker
arXiv preprint arXiv:1811.11507, 2018
52018
One-shot Texture Segmentation
I Ustyuzhaninov, C Michaelis, W Brendel, M Bethge
arXiv preprint arXiv:1807.02654, 2018
42018
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
2019
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
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
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
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
2018
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Articles 1–10