Felix A. Wichmann

Orcid: 0000-0002-2592-634X

Affiliations:
  • University of Tübingen, Germany


According to our database1, Felix A. Wichmann authored at least 30 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Immediate generalisation in humans but a generalisation lag in deep neural networks - evidence for representational divergence?
CoRR, 2024

2023
Neither hype nor gloom do DNNs justice.
CoRR, 2023

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
CoRR, 2023

2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks.
CoRR, 2022

Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond).
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Partial success in closing the gap between human and machine vision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Shortcut learning in deep neural networks.
Nat. Mach. Intell., 2020

Deep Neural Models for color discrimination and color constancy.
CoRR, 2020

On the surprising similarities between supervised and self-supervised models.
CoRR, 2020

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Estimation of perceptual scales using ordinal embedding.
CoRR, 2019

Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing.
CoRR, 2019

Neural Signatures of Motor Skill in the Resting Brain.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Perceiving the arrow of time in autoregressive motion.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Generalisation in humans and deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker.
CoRR, 2017

Methods and measurements to compare men against machines.
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017

2013
How Sensitive Is the Human Visual System to the Local Statistics of Natural Images?
PLoS Comput. Biol., 2013

2012
A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses.
PLoS Comput. Biol., 2012

2009
Determining the cortical target of transcranial magnetic stimulation.
NeuroImage, 2009

2007
The independent components of natural images are perceptually dependent.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements.
Proceedings of the Pattern Recognition, 2007

2006
Classification of Faces in Man and Machine.
Neural Comput., 2006

Inducing Metric Violations in Human Similarity Judgements.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Nonparametric Approach to Bottom-Up Visual Saliency.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning an Interest Operator from Human Eye Movements.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2004
Machine Learning Applied to Perception: Decision Images for Gender Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Insights from Machine Learning Applied to Human Visual Classification.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Gender Classification of Human Faces.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002


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