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Prof. Dr. Felix A. Wichmann

E-Mail: felix.wichmann

 

Bild von Wichmann, Felix A., Prof. Dr.

Felix A. Wichmann

Position: Senior Researcher  Abteilung: 

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Tagungsbände (3):

Bülthoff HH, Mallot HA, Ulrich R und Wichmann FA: 8th Tübingen Perception Conference: TWK 2005, 8th Tübinger Wahrnehmungskonferenz, 202, Knirsch, Kirchentellinsfurt, Germany, (Februar-2005).
3-927091-70-7
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Bülthoff HH, Mallot HA, Ulrich R und Wichmann FA: 7th Tübingen Perception Conference: TWK 2004, TWK 2004, 198, Knirsch, Kirchentellinsfurt, Germany, (Februar-2004).
3-927091-68-5
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Bülthoff HH, Gegenfurtner K, Mallot HA, Ulrich R und Wichmann FA: 6. Tübinger Wahrnehmungskonferenz, Sixth Perception Conference at Tübingen (TWK 2003), 183, Knirsch, Kirchentellinsfurt, Germany, (Februar-2003).
3-927091-62-6
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Artikel (30):

Wallis TSA, Tobias S, Bethge M und Wichmann FA (April-2017) Detecting distortions of peripherally presented letter stimuli under crowded conditions Attention, Perception, & Psychophysics 79(3) 850–862.
Schütt HH, Harmeling S, Macke JH und Wichmann FA (Mai-2016) Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Vision Research 122 105–123.
Wallis T, Bethge M und Wichmann FA (März-2016) Testing models of peripheral encoding using metamerism in an oddity paradigm Journal of Vision 16(2:4) 1-30.
Fründ I, Wichmann FA und Macke J (Juni-2014) Quantifying the effect of intertrial dependence on perceptual decisions Journal of Vision 14(7:9) 1-16.
Gerhard HE, Wichmann FA und Bethge M (Januar-2013) How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology 9(1) 1-15.
Schönfelder VH und Wichmann FA (Mai-2012) Sparse regularized regression identifies behaviorally-relevant stimulus features from psychophysical data Journal of the Acoustical Society of America 131(5) 3953-3969.
Putzeys T, Bethge M, Wichmann F, Wagemans J und Goris R (April-2012) A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses PLoS Computational Biology 8(4) 1-13.
Macke JH und Wichmann FA (Mai-2010) Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces Journal of Vision 10(5:22) 1-24.
Thielscher A und Wichmann FA (Oktober-2009) Determining the cortical target of transcranial magnetic stimulation NeuroImage 47(4) 1319-1330.
Jäkel F, Schölkopf B und Wichmann FA (September-2009) Does Cognitive Science Need Kernels? Trends in Cognitive Sciences 13(9) 381-388.
Kienzle W, Franz MO, Schölkopf B und Wichmann FA (Mai-2009) Center-surround patterns emerge as optimal predictors for human saccade targets Journal of Vision 9(5:7) 1-15.
Jäkel F, Schölkopf B und Wichmann FA (September-2008) Similarity, Kernels, and the Triangle Inequality Journal of Mathematical Psychology 52(2) 297-303.
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Jäkel F, Schölkopf B und Wichmann FA (April-2008) Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning Psychonomic Bulletin and Review 15(2) 256-271.
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Jäkel F, Schölkopf B und Wichmann FA (Dezember-2007) A Tutorial on Kernel Methods for Categorization Journal of Mathematical Psychology 51(6) 343-358.
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Rosas P, Wichmann FA und Wagemans J (April-2007) Texture and object motion in slant discrimination: Failure of reliability-based weighting of cues may be evidence for strong fusion Journal of Vision 7(6:3) 1-21.
Henning GB und Wichmann FA (Januar-2007) Some observations on the pedestal effect Journal of Vision 7(1:3) 1-15.
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Jäkel F und Wichmann FA (November-2006) Spatial four-alternative forced-choice method is the preferred psychophysical method for naive observers Journal of Vision 6(11) 1307-1322.
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Wichmann FA, Braun DI und Gegenfurtner KR (April-2006) Phase noise and the classification of natural images Vision Research 46(8-9) 1520-1529.
Graf ABA, Wichmann FA, Bülthoff HH und Schölkopf B (Januar-2006) Classification of Faces in Man and Machine Neural Computation 18(1) 143-165.
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Kuss M, Jäkel F und Wichmann FA (Mai-2005) Bayesian inference for psychometric functions Journal of Vision 5(5) 478-492.
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Rosas P, Wagemans J, Ernst MO und Wichmann FA (Mai-2005) Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination Journal of the Optical Society of America A 22(5) 801-809.
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Kammer T, Puls K, Strasburger H, Hill NJ und Wichmann FA (Januar-2005) Transcranial magnetic stimulation in the visual system: I. The psychophysics of visual suppression Experimental Brain Research 160(1) 118-128.
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Rosas P, Wichmann FA und Wagemans J (Juni-2004) Some observations on the effects of slant and texture type on slant-from-texture Vision Research 44(13) 1511-1535.
Henning GB, Bird CM und Wichmann FA (Juli-2002) Contrast discrimination with pulse-trains in pink noise Journal of the Optical Society of America A 19(7) 1259-1266.
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Bird CM, Henning GB und Wichmann FA (Juli-2002) Contrast discrimination with sinusoidal gratings of different spatial frequency Journal of the Optical Society of America A 19(7) 1267-1273.
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Wichmann FA, Sharpe LT und Gegenfurtner KR (Mai-2002) The contributions of color to recognition memory for natural scenes Journal of Experimental Psychology: Learning, Memory and Cognition 28(3) 509-520.
Wichmann FA und Hill NJ (November-2001) The psychometric function: I. Fitting, sampling, and goodness of fit Perception & Psychophysics 63(8) 1293-1313.
Wichmann FA und Hill NJ (August-2001) The psychometric function: II. Bootstrap-based confidence intervals and sampling Perception & Psychophysics 63(8) 1314-1329.
Gegenfurtner K, Wichmann FA und Sharpe LT (April-1998) The contribution of color to visual memory in X-chromosome-linked dichromats Vision Research 38(7) 1041-1045.
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Wichmann FA und Henning GB (Februar-1998) No role for motion blur in either motion detection or motion based image segmentation Journal of the Optical Society of America A 15(2) 297-306.
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Beiträge zu Tagungsbänden (9):

Kienzle W, Wichmann FA, Schölkopf B und Franz MO (September-2007) A Nonparametric Approach to Bottom-Up Visual Saliency In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 689-696.
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Kienzle W, Schölkopf B, Wichmann F und Franz MO (September-2007) How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements In: Pattern Recognition, , 29th Annual Symposium of the German Association for Pattern Recognition (DAGM 2007), Springer, Berlin, Germany, 405-414, Series: Lecture Notes in Computer Science ; 4713.
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Laub J, Macke JH, Müller K-R und Wichmann FA (September-2007) Inducing Metric Violations in Human Similarity Judgements In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 777-784.
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Bethge M, Wiecki TV und Wichmann FA (Februar-2007) The Independent Components of Natural Images are Perceptually Dependent In: Human Vision and Electronic Imaging XII, , SPIE Human Vision and Electronic Imaging Conference 2007, SPIE, Bellingham, WA, USA, 1-12, Series: Proceedings of the SPIE ; 6492.
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Kienzle W, Wichmann FA, Schölkopf B und Franz MO (April-2006) Learning an Interest Operator from Human Eye Movements, Conference on Computer Vision and Pattern Recognition Workshop (CVPWR 2006), IEEE Computer Society, Los Alamitos, CA, USA, 24.
Wichmann FA, Graf ABA, Simoncelli EP, Bülthoff HH und Schölkopf B (Juli-2005) Machine Learning Applied to Perception: Decision-Images for Classification In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1489-1496.
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Graf ABA und Wichmann FA (Juni-2004) Insights from Machine Learning Applied to Human Visual Classification In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 905-912.
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Ernst MO, Banks MS, Wichmann FA, Maloney L und Bülthoff HH (November-2002) Combining sensory Information to Improve Visualization, IEEE Conference on Visualization 2002 (VIS '02), IEEE Service Center, Piscataway, NJ, USA, 571-574.
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Graf ABA und Wichmann FA (November-2002) Gender Classification of Human Faces In: Biologically Motivated Computer Vision, , Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), Springer, Berlin, Germany, 491-500, Series: Lecture Notes in Computer Science ; 2525.
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Beiträge zu Büchern (1):

Wagemans J, Wichmann FA und de Beeck HO: Visual perception I: Basic principles, 3-47. In: Handbook of Cognition, (Ed) K. Lamberts, Sage, London, UK, (2005).

Technische Berichte (2):

Kuss M, Jäkel F und Wichmann FA: Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling, 135, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Januar-2005).
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Gegenfurtner KR, Wichmann FA und Sharpe LT: The contribution of colour to recognition memory in normal and colour-deficient observers, 25, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Februar-1996).
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Poster (63):

Wallis TSA, Funke CM, Ecker AS, Gatys LA, Wichmann FA und Bethge M (Oktober-2017): A parametric texture model based on deep convolutional features closely matches texture appearance for humans, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 1081.
Geirhos R, Jannsen D, Schütt H, Bethge M und Wichmann F (August-2017): Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 806.
Wallis T, Funke C, Ecker A, Gatys L, Wichmann F und Bethge M (August-2017): Towards matching peripheral appearance for arbitrary natural images using deep features, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 786.
Wallis TSA, Ecker AS, Gatys LA, Funke CM, Wichmann FA und Bethge M (September-2016): Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks, 16th Annual Meeting of the Vision Sciences Society (VSS 2016), St. Pete Beach, FL, USA, Journal of Vision, 16(12) 230.
Schütt H, Harmeling S, Macke J und Wichmann F (September-2015): Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions, 15th Annual Meeting of the Vision Sciences Society (VSS 2015), St. Pete Beach, FL, USA, Journal of Vision, 15(12) 474.
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Last updated: Montag, 22.05.2017