Gender Classification of Human Faces. - Arnulf B. A. Graf; Felix A. Wichmann (Biologically Motivated Computer Vision, 2002)

Insights from Machine Learning Applied to Human Visual Classification. - Arnulf B. A. Graf; Felix A. Wichmann (NIPS, 2003)

Machine Learning Applied to Perception: Decision Images for Gender Classification. - Felix A. Wichmann; Arnulf B. A. Graf; Eero P. Simoncelli; Heinrich H. Bülthoff; Bernhard Schölkopf (NIPS, 2004)

Learning an Interest Operator from Human Eye Movements. - Wolf Kienzle; Felix A. Wichmann; Bernhard Schölkopf; Matthias O. Franz (CVPR Workshops, 2006)

A Nonparametric Approach to Bottom-Up Visual Saliency. - Wolf Kienzle; Felix A. Wichmann; Bernhard Schölkopf; Matthias O. Franz (NIPS, 2006)

Inducing Metric Violations in Human Similarity Judgements. - Julian Laub; Jakob H. Macke; Klaus-Robert Müller; Felix A. Wichmann (NIPS, 2006)

Classification of Faces in Man and Machine. - Arnulf B. A. Graf; Felix A. Wichmann; Heinrich H. Bülthoff; Bernhard Schölkopf (Neural Comput., 2006)

How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements. - Wolf Kienzle; Bernhard Schölkopf; Felix A. Wichmann; Matthias O. Franz (DAGM-Symposium, 2007)

The independent components of natural images are perceptually dependent. - Matthias Bethge; Thomas V. Wiecki; Felix A. Wichmann (Human Vision and Electronic Imaging, 2007)

Determining the cortical target of transcranial magnetic stimulation. - Axel Thielscher; Felix A. Wichmann (NeuroImage, 2009)

A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. - Tom Putzeys; Matthias Bethge; Felix A. Wichmann; Johan Wagemans; Robbe Goris (PLoS Comput. Biol., 2012)

How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? - Holly E. Gerhard; Felix A. Wichmann; Matthias Bethge (PLoS Comput. Biol., 2013)

Methods and measurements to compare men against machines. - Felix A. Wichmann; David H. J. Janssen; Robert Geirhos; Guillermo Aguilar; Heiko H. Schütt; Marianne Maertens; Matthias Bethge (HVEI, 2017)

Comparing deep neural networks against humans: object recognition when the signal gets weaker. - Robert Geirhos; David H. J. Janssen; Heiko H. Schütt; Jonas Rauber; Matthias Bethge; Felix A. Wichmann (CoRR, 2017)

Generalisation in humans and deep neural networks. - Robert Geirhos; Carlos R. Medina Temme; Jonas Rauber; Heiko H. Schütt; Matthias Bethge; Felix A. Wichmann (NeurIPS, 2018)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. - Robert Geirhos; Patricia Rubisch; Claudio Michaelis; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (ICLR, 2019)

Perceiving the arrow of time in autoregressive motion. - Kristof Meding; Dominik Janzing; Bernhard Schölkopf; Felix A. Wichmann (NeurIPS, 2019)

Neural Signatures of Motor Skill in the Resting Brain. - Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters 001; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup (SMC, 2019)

Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. - Siavash Haghiri; Felix A. Wichmann; Ulrike von Luxburg (CoRR, 2019)

Estimation of perceptual scales using ordinal embedding. - Siavash Haghiri; Felix A. Wichmann; Ulrike von Luxburg (CoRR, 2019)

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. - Robert Geirhos; Kristof Meding; Felix A. Wichmann (NeurIPS, 2020)

On the surprising similarities between supervised and self-supervised models. - Robert Geirhos; Kantharaju Narayanappa; Benjamin Mitzkus; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (CoRR, 2020)

Deep Neural Models for color discrimination and color constancy. - Alban Flachot; Arash Akbarinia; Heiko H. Schütt; Roland W. Fleming; Felix A. Wichmann; Karl R. Gegenfurtner (CoRR, 2020)

Shortcut learning in deep neural networks. - Robert Geirhos; Jörn-Henrik Jacobsen; Claudio Michaelis; Richard S. Zemel; Wieland Brendel; Matthias Bethge; Felix A. Wichmann (Nat. Mach. Intell., 2020)

Partial success in closing the gap between human and machine vision. - Robert Geirhos; Kantharaju Narayanappa; Benjamin Mitzkus; Tizian Thieringer; Matthias Bethge; Felix A. Wichmann; Wieland Brendel (NeurIPS, 2021)

Trivial or Impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond). - Kristof Meding; Luca M. Schulze Buschoff; Robert Geirhos; Felix A. Wichmann (ICLR, 2022)

The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. - Lukas S. Huber; Robert Geirhos; Felix A. Wichmann (CoRR, 2022)

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? - Felix A. Wichmann; Robert Geirhos (CoRR, 2023)

Neither hype nor gloom do DNNs justice. - Felix A. Wichmann; Simon Kornblith; Robert Geirhos (CoRR, 2023)

Immediate generalisation in humans but a generalisation lag in deep neural networks - evidence for representational divergence? - Lukas S. Huber; Fred W. Mast; Felix A. Wichmann (CoRR, 2024)

How Aligned are Different Alignment Metrics? - Jannis Ahlert; Thomas Klein; Felix A. Wichmann; Robert Geirhos (CoRR, 2024)