Name
Affiliation
Papers
F A WICHMANN
FG Modellierung kognitiver Prozesse, Sekr. FR6-4, Technische Unversität Berlin, Germany
19
Collaborators
Citations 
PageRank 
46
231
17.54
Referers 
Referees 
References 
658
454
155
Search Limit
100658
Title
Citations
PageRank
Year
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)00.342022
Partial success in closing the gap between human and machine vision.00.342021
Shortcut Learning In Deep Neural Networks100.622020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency10.352020
Perceiving the arrow of time in autoregressive motion00.342019
Generalisation in humans and deep neural networks.60.452018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.330.752018
Comparing deep neural networks against humans: object recognition when the signal gets weaker.160.652017
Methods and measurements to compare men against machines.10.362017
How Sensitive Is The Human Visual System To The Local Statistics Of Natural Images?60.522013
A new perceptual bias reveals suboptimal population decoding of sensory responses.70.622012
Determining the cortical target of transcranial magnetic stimulation.20.472009
How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements261.412007
Classification of faces in man and machine.131.472006
A Nonparametric Approach to Bottom-Up Visual Saliency796.062006
Inducing Metric Violations in Human Similarity Judgements30.432006
Machine Learning Applied to Perception: Decision Images for Gender Classification30.802004
Insights from Machine Learning Applied to Human Visual Classification20.552003
Gender Classification of Human Faces231.012002