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Felix A. Wichmann
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- affiliation: University of Tübingen, Germany
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2020 – today
- 2024
- [i16]Lukas S. Huber, Fred W. Mast, Felix A. Wichmann:
Immediate generalisation in humans but a generalisation lag in deep neural networks - evidence for representational divergence? CoRR abs/2402.09303 (2024) - [i15]Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos:
How Aligned are Different Alignment Metrics? CoRR abs/2407.07530 (2024) - 2023
- [i14]Felix A. Wichmann, Robert Geirhos:
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? CoRR abs/2305.17023 (2023) - [i13]Felix A. Wichmann, Simon Kornblith, Robert Geirhos:
Neither hype nor gloom do DNNs justice. CoRR abs/2312.05355 (2023) - 2022
- [c16]Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann:
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond). ICLR 2022 - [i12]Lukas S. Huber, Robert Geirhos, Felix A. Wichmann:
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. CoRR abs/2205.10144 (2022) - 2021
- [c15]Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
Partial success in closing the gap between human and machine vision. NeurIPS 2021: 23885-23899 - [i11]Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
Partial success in closing the gap between human and machine vision. CoRR abs/2106.07411 (2021) - [i10]Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann:
Trivial or impossible - dichotomous data difficulty masks model differences (on ImageNet and beyond). CoRR abs/2110.05922 (2021) - 2020
- [j5]Robert Geirhos
, Jörn-Henrik Jacobsen, Claudio Michaelis
Shortcut learning in deep neural networks. Nat. Mach. Intell. 2(11): 665-673 (2020) - [c14]Robert Geirhos, Kristof Meding, Felix A. Wichmann:
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. NeurIPS 2020 - [i9]Robert Geirhos
Shortcut Learning in Deep Neural Networks. CoRR abs/2004.07780 (2020) - [i8]Robert Geirhos
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. CoRR abs/2006.16736 (2020) - [i7]Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
On the surprising similarities between supervised and self-supervised models. CoRR abs/2010.08377 (2020) - [i6]Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner:
Deep Neural Models for color discrimination and color constancy. CoRR abs/2012.14402 (2020)
2010 – 2019
- 2019
- [c13]Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. ICLR 2019 - [c12]Kristof Meding, Dominik Janzing, Bernhard Schölkopf, Felix A. Wichmann:
Perceiving the arrow of time in autoregressive motion. NeurIPS 2019: 2303-2314 - [c11]Ozan Özdenizci, Timm Meyer, Felix A. Wichmann
Neural Signatures of Motor Skill in the Resting Brain. SMC 2019: 4387-4394 - [i5]Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. CoRR abs/1905.07234 (2019) - [i4]Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Estimation of perceptual scales using ordinal embedding. CoRR abs/1908.07962 (2019) - 2018
- [c10]Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann:
Generalisation in humans and deep neural networks. NeurIPS 2018: 7549-7561 - [i3]Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann:
Generalisation in humans and deep neural networks. CoRR abs/1808.08750 (2018) - [i2]Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel:
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. CoRR abs/1811.12231 (2018) - 2017
- [c9]Felix A. Wichmann
Methods and measurements to compare men against machines. HVEI 2017: 36-45 - [i1]Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann:
Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR abs/1706.06969 (2017) - 2013
- [j4]Holly E. Gerhard, Felix A. Wichmann
How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? PLoS Comput. Biol. 9(1) (2013) - 2012
- [j3]Tom Putzeys, Matthias Bethge, Felix A. Wichmann
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Comput. Biol. 8(4) (2012)
2000 – 2009
- 2009
- [j2]Axel Thielscher
Determining the cortical target of transcranial magnetic stimulation. NeuroImage 47(4): 1319-1330 (2009) - 2007
- [c8]Wolf Kienzle, Bernhard Schölkopf, Felix A. Wichmann
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements. DAGM-Symposium 2007: 405-414 - [c7]Matthias Bethge, Thomas V. Wiecki, Felix A. Wichmann
The independent components of natural images are perceptually dependent. Human Vision and Electronic Imaging 2007: 64920A - 2006
- [j1]Arnulf B. A. Graf, Felix A. Wichmann
Classification of Faces in Man and Machine. Neural Comput. 18(1): 143-165 (2006) - [c6]Wolf Kienzle, Felix A. Wichmann
Learning an Interest Operator from Human Eye Movements. CVPR Workshops 2006: 24 - [c5]Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz:
A Nonparametric Approach to Bottom-Up Visual Saliency. NIPS 2006: 689-696 - [c4]Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann:
Inducing Metric Violations in Human Similarity Judgements. NIPS 2006: 777-784 - 2004
- [c3]Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf:
Machine Learning Applied to Perception: Decision Images for Gender Classification. NIPS 2004: 1489-1496 - 2003
- [c2]Arnulf B. A. Graf, Felix A. Wichmann:
Insights from Machine Learning Applied to Human Visual Classification. NIPS 2003: 905-912 - 2002
- [c1]Arnulf B. A. Graf, Felix A. Wichmann
Gender Classification of Human Faces. Biologically Motivated Computer Vision 2002: 491-500
Coauthor Index
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last updated on 2024-08-25 19:13 CEST by the dblp team
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