Felix A. Wichmann

39 papers A* 5B 1Journal 23Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Low-Pass Filtering Improves Behavioral Alignment of Vision Models. CoRR Max Wolff, Thomas Klein, Evgenia Rusak, Felix A. Wichmann, Wieland Brendel
2026	J	`jnl`	MentisOculi: Revealing the Limits of Reasoning with Mental Imagery. CoRR Jana Zeller, Thaddäus Wiedemer, Fanfei Li, Thomas Klein, Prasanna Mayilvahanan, Matthias Bethge, Felix A. Wichmann, Ryan Cotterell, Wieland Brendel
2024	J	`jnl`	How Aligned are Different Alignment Metrics? CoRR Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos
2024	J	`jnl`	Immediate generalisation in humans but a generalisation lag in deep neural networks - evidence for representational divergence? CoRR Lukas S. Huber, Fred W. Mast, Felix A. Wichmann
2023	J	`jnl`	Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? CoRR Felix A. Wichmann, Robert Geirhos
2023	J	`jnl`	Neither hype nor gloom do DNNs justice. CoRR Felix A. Wichmann, Simon Kornblith, Robert Geirhos
2022	J	`jnl`	The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. CoRR Lukas S. Huber, Robert Geirhos, Felix A. Wichmann
2022	A*	`conf`	Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond). ICLR Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
2021	A*	`conf`	Partial success in closing the gap between human and machine vision. NeurIPS Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2021	J	`jnl`	Partial success in closing the gap between human and machine vision. CoRR Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2021	J	`jnl`	Trivial or impossible - dichotomous data difficulty masks model differences (on ImageNet and beyond). CoRR Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
2020	A*	`conf`	Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. NeurIPS Robert Geirhos, Kristof Meding, Felix A. Wichmann
2020	J	`jnl`	Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. CoRR Robert Geirhos, Kristof Meding, Felix A. Wichmann
2020	J	`jnl`	Deep Neural Models for color discrimination and color constancy. CoRR Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner
2020	J	`jnl`	On the surprising similarities between supervised and self-supervised models. CoRR Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2020	J	`jnl`	Shortcut Learning in Deep Neural Networks. CoRR Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
2020	J	`jnl`	Shortcut learning in deep neural networks. Nat. Mach. Intell. Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann
2019	J	`jnl`	Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. CoRR Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg
2019	J	`jnl`	Estimation of perceptual scales using ordinal embedding. CoRR Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg
2019	—	`conf`	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. ICLR Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2019	B	`conf`	Neural Signatures of Motor Skill in the Resting Brain. SMC Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup
2019	A*	`conf`	Perceiving the arrow of time in autoregressive motion. NeurIPS Kristof Meding, Dominik Janzing, Bernhard Schölkopf, Felix A. Wichmann
2018	A*	`conf`	Generalisation in humans and deep neural networks. NeurIPS Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
2018	J	`jnl`	Generalisation in humans and deep neural networks. CoRR Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
2018	J	`jnl`	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. CoRR Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
2017	J	`jnl`	Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann
2017	—	`conf`	Methods and measurements to compare men against machines. HVEI Felix A. Wichmann, David H. J. Janssen, Robert Geirhos, Guillermo Aguilar, Heiko H. Schütt, Marianne Maertens, Matthias Bethge
2013	J	`jnl`	How Sensitive Is the Human Visual System to the Local Statistics of Natural Images? PLoS Comput. Biol. Holly E. Gerhard, Felix A. Wichmann, Matthias Bethge
2012	J	`jnl`	A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses. PLoS Comput. Biol. Tom Putzeys, Matthias Bethge, Felix A. Wichmann, Johan Wagemans, Robbe Goris
2009	J	`jnl`	Determining the cortical target of transcranial magnetic stimulation. NeuroImage Axel Thielscher, Felix A. Wichmann
2007	—	`conf`	How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements. DAGM-Symposium Wolf Kienzle, Bernhard Schölkopf, Felix A. Wichmann, Matthias O. Franz
2007	—	`conf`	The independent components of natural images are perceptually dependent. Human Vision and Electronic Imaging Matthias Bethge, Thomas V. Wiecki, Felix A. Wichmann
2006	—	`conf`	A Nonparametric Approach to Bottom-Up Visual Saliency. NIPS Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz
2006	J	`jnl`	Classification of Faces in Man and Machine. Neural Comput. Arnulf B. A. Graf, Felix A. Wichmann, Heinrich H. Bülthoff, Bernhard Schölkopf
2006	—	`conf`	Inducing Metric Violations in Human Similarity Judgements. NIPS Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann
2006	—	`conf`	Learning an Interest Operator from Human Eye Movements. CVPR Workshops Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz
2004	—	`conf`	Machine Learning Applied to Perception: Decision Images for Gender Classification. NIPS Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf
2003	—	`conf`	Insights from Machine Learning Applied to Human Visual Classification. NIPS Arnulf B. A. Graf, Felix A. Wichmann
2002	—	`conf`	Gender Classification of Human Faces. Biologically Motivated Computer Vision Arnulf B. A. Graf, Felix A. Wichmann