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Judith Borowski
Judith Borowski
PhD student, University of Tübingen & International Max Planck Research School for Intelligent
Verified email at bethgelab.org
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Cited by
Year
Five points to check when comparing visual perception in humans and machines
CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge
Journal of Vision 21 (3), 16-16, 2021
782021
The notorious difficulty of comparing human and machine perception
J Borowski, CM Funke, K Stosio, W Brendel, TSA Wallis, M Bethge
NeurIPS Workshop: Shared Visual Representations in Human & Machine Intelligence, 2019
362019
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
J Borowski, RS Zimmermann, J Schepers, R Geirhos, TSA Wallis, ...
International Conference on Learning Representations, 2020
322020
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
RS Zimmermann, J Borowski, R Geirhos, M Bethge, T Wallis, W Brendel
Advances in Neural Information Processing Systems 34, 11730-11744, 2021
212021
Interactive analysis of cnn robustness
S Sietzen, M Lechner, J Borowski, R Hasani, M Waldner
Computer Graphics Forum 40 (7), 253-264, 2021
92021
Natural images are more informative for interpreting cnn activations than state-of-the-art synthetic feature visualizations
J Borowski, RS Zimmermann, J Schepers, R Geirhos, TSA Wallis, ...
NeurIPS 2020 Workshop SVRHM, 2020
52020
Exemplary natural images explain CNN activations better than feature visualizations
J Borowski, RS Zimmermann, J Schepers, R Geirhos, TSA Wallis, ...
arXiv preprint arXiv:2010.12606, 2020
42020
Comparing the ability of humans and DNNs to recognise closed contours in cluttered images
C Funke, J Borowski, T Wallis, W Brendel, A Ecker, M Bethge
Journal of Vision 18 (10), 800-800, 2018
32018
Five points to check when com
CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge
2021
The notorious difficulty of comparing human and machine perception
CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge
arXiv e-prints, arXiv: 2004.09406, 2020
2020
Reproducing Decision-Making With Constrained Networks to Understand Deep Neural Networks
J Borowski, W Brendel, M Bethge
PERCEPTION 48, 199-199, 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
SAGE PUBLICATIONS LTD, 2019
2019
Functional readout analysis reveals nonlinear representational transformation from early visual to category-selective regions
M Mur, J Borowski, N Kriegeskorte
Journal of Vision 17 (10), 1230-1230, 2017
2017
Exceptional Reviewers
R Aslin, B Balas, M Bao, M Barraza-Bernal, B Barrett, P Bays, A Benjamin, ...
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