Claudio Michaelis

Cited by

	All	Since 2018
Citations	3566	3555
h-index	8	8
i10-index	8	8

1400

700

350

1050

20192020202120222023188 507 946 1337 563

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
Wieland BrendelResearch Group Leader, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Robert GeirhosResearch Scientist, Google BrainVerified email at google.com
Felix WichmannEberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
Jörn-Henrik JacobsenApple AI/ML ResearchVerified email at vectorinstitute.ai
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Evgenia RusakM.Sc.Verified email at uni-tuebingen.de
Benjamin MitzkusBethgelab, University of TübingenVerified email at bethgelab.org
Ivan UstyuzhaninovPhD student, University of TübingenVerified email at bethgelab.org
Michal RolínekHobby researcherVerified email at tuebingen.mpg.de
Alexander MathisEPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)Verified email at epfl.ch
Pranav MamidannaDepartment of Health Science and Technology, Aalborg UniversityVerified email at hst.aau.dk
Mackenzie Weygandt MathisSwiss Federal Institute of Technology in Lausanne (EPFL)Verified email at epfl.ch
Thomas S.A. WallisInstitute of Psychology and Center for Cognitive Science, Technical University of DarmstadtVerified email at tu-darmstadt.de
Christina Maria FunkeUniversity of TübingenVerified email at bethgelab.org
Judith BorowskiPhD student, University of Tübingen & International Max Planck Research School for IntelligentVerified email at bethgelab.org

Claudio Michaelis

PhD student, University of Tübingen

Verified email at uni-tuebingen.de - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by 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	2074	2018
Shortcut Learning in Deep Neural Networks R Geirhos, JH Jacobsen, C Michaelis*, R Zemel, W Brendel, M Bethge, ... Nature Machine Intelligence, 2020	1028	2020
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	254	2019
One-Shot Instance Segmentation C Michaelis, I Ustyuzhaninov, M Bethge, AS Ecker arXiv preprint arXiv:1811.11507, 2018	74	2018
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	64	2019
One-Shot Segmentation in Clutter C Michaelis, M Bethge, AS Ecker International Conference on Machine Learning (ICML 2018), 2018	39	2018
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	13*	2022
One-shot Texture Segmentation I Ustyuzhaninov, C Michaelis, W Brendel, M Bethge arXiv preprint arXiv:1807.02654, 2018	12	2018
Closing the Generalization Gap in One-Shot Object Detection C Michaelis, M Bethge, AS Ecker arXiv preprint arXiv:2011.04267, 2020	6	2020
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	1	2020
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	1	2018
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
Iterative weakly supervised learning for novel class object detection D Mandić, W Brendel, C Michaelis

The system can't perform the operation now. Try again later.

Articles 1–15

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors