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Vision Sciences Society Annual Meeting Abstract September 2019

Hole-in-the-wall: Perception of 3D shape and affordances from static images in humans and machines

Thomas S Wallis; Marlene Weller; Christina M Funke; Matthias Bethge

Journal of Vision. 2019; 19(10):160b. doi: 10.1167/19.10.160b

Vision Sciences Society Annual Meeting Abstract September 2019

Meaning maps and deep neural networks are insensitive to meaning when predicting human fixations

Marek A. Pedziwiatr; Thomas S.A. Wallis; Matthias Kümmerer; Christoph Teufel

Journal of Vision. 2019; 19(10):253c. doi: 10.1167/19.10.253c

Vision Sciences Society Annual Meeting Abstract September 2019

Behavioural evidence for the existence of a spatiotopic free-viewing saliency map

Matthias Kümmerer; Thomas S.A. Wallis; Matthias Bethge

Journal of Vision. 2019; 19(10):305a. doi: 10.1167/19.10.305a

Vision Sciences Society Annual Meeting Abstract September 2019

Comparing Search Strategies of Humans and Machines in Clutter

Claudio Michaelis; Marlene Weller; Christina Funke; Alexander S. Ecker; Thomas S.A. Wallis; Matthias Bethge

Journal of Vision. 2019; 19(10):309c. doi: 10.1167/19.10.309c

Vision Sciences Society Annual Meeting Abstract September 2018

Comparing the ability of humans and DNNs to recognise closed contours in cluttered images

Christina Funke; Judy Borowski; Thomas Wallis; Wieland Brendel; Alexander Ecker; Matthias Bethge

Journal of Vision. 2018; 18(10):800-800. doi: 10.1167/18.10.800

Vision Sciences Society Annual Meeting Abstract September 2018

Extending DeepGaze II: Scanpath prediction from deep features

Matthias Kümmerer; Thomas Wallis; Matthias Bethge

Journal of Vision. 2018; 18(10):371-371. doi: 10.1167/18.10.371

Article October 2017

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

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Thomas S. A. Wallis; Christina M. Funke; Alexander S. Ecker; Leon A. Gatys; Felix A. Wichmann; Matthias Bethge
TAGS: avian crop, metals, perception, psychophysics, texture perception, inspection, pixel, parafoveal region
Journal of Vision. 2017; 17(12):5. doi: 10.1167/17.12.5

Vision Sciences Society Annual Meeting Abstract August 2017

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

Christina Funke; Thomas Wallis; Alexander Ecker; Leon Gatys; Felix Wichmann; Matthias Bethge

Journal of Vision. 2017; 17(10):1081-1081. doi: 10.1167/17.10.1081

Vision Sciences Society Annual Meeting Abstract August 2017

Towards matching peripheral appearance for arbitrary natural images using deep features

Thomas Wallis; Christina Funke; Alexander Ecker; Leon Gatys; Felix Wichmann; Matthias Bethge

Journal of Vision. 2017; 17(10):786-786. doi: 10.1167/17.10.786

Vision Sciences Society Annual Meeting Abstract September 2016

Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks

Thomas Wallis; Alexander Ecker; Leon Gatys; Christina Funke; Felix Wichmann; Matthias Bethge

Journal of Vision. 2016; 16(12):230-230. doi: 10.1167/16.12.230

Article March 2016

Testing models of peripheral encoding using metamerism in an oddity paradigm

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Thomas S. A. Wallis; Matthias Bethge; Felix A. Wichmann
TAGS: pixel
Journal of Vision. 2016; 16(2):4. doi: 10.1167/16.2.4

Vision Sciences Society Annual Meeting Abstract September 2015

Metamers of the ventral stream revisited

Thomas Wallis; Matthias Bethge; Felix Wichmann

Journal of Vision. 2015; 15(12):554-554. doi: 10.1167/15.12.554

Article June 2015

Sensitivity to gaze-contingent contrast increments in naturalistic movies: An exploratory report and model comparison

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Thomas S. A. Wallis; Michael Dorr; Peter J. Bex
TAGS: eye movement, transducers, gaze
Journal of Vision. 2015; 15(8):3. doi: 10.1167/15.8.3

Vision Sciences Society Annual Meeting Abstract August 2014

Visual sensitivity under naturalistic viewing conditions

Michael Dorr; Thomas S Wallis; Peter J Bex

Journal of Vision. 2014; 14(10):1448-1448. doi: 10.1167/14.10.1448

Visual Psychophysics and Physiological Optics January 2014

Characterization of Field Loss Based on Microperimetry Is Predictive of Face Recognition Difficulties

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Thomas S. A. Wallis; Christopher Patrick Taylor; Jennifer Wallis; Mary Lou Jackson; Peter J. Bex
TAGS: blindness, face, perimetry, vision, visual impairment, face recognition
Invest. Ophthalmol. Vis. Sci.. 2014; 55(1):142-153. doi: 10.1167/iovs.13-12420

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2013

Analyses of contrast sensitivity assessments over time: A pilot study

Xi Chen; Luis Lesmes; Jennifer Wallis; Thomas Wallis; Mary Lou Jackson; Peter Bex

Invest. Ophthalmol. Vis. Sci.. 2013; 54(15):2761. doi:

Article July 2012

Image correlates of crowding in natural scenes

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Thomas S. A. Wallis; Peter J. Bex
TAGS: crowding, visual fields, pixel, weight measurement scales, natural scenes
Journal of Vision. 2012; 12(7):6. doi: 10.1167/12.7.6

Includes: Supplemental Content

ARVO Annual Meeting Abstract March 2012

Contrast Sensitivity As A Predictor Of Central Field Loss

Jennifer Wallis; Peter J. Bex; Luis Lesmes; Thomas S. Wallis; Mary Lou Jackson

Invest. Ophthalmol. Vis. Sci.. 2012; 53(14):6519. doi:

OSA Fall Vision Meeting Abstract December 2011

Image Correlates of Peripheral Contour Discrimination in Natural Scenes

Thomas Wallis; Peter Bex

Journal of Vision. 2011; 11(15):62-62. doi: 10.1167/11.15.62

Vision Sciences Society Annual Meeting Abstract September 2011

Image correlates of crowding in natural scenes

Thomas Wallis; Peter Bex

Journal of Vision. 2011; 11(11):1192-1192. doi: 10.1167/11.11.1192

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Hole-in-the-wall: Perception of 3D shape and affordances from static images in humans and machines

Meaning maps and deep neural networks are insensitive to meaning when predicting human fixations

Behavioural evidence for the existence of a spatiotopic free-viewing saliency map

Comparing Search Strategies of Humans and Machines in Clutter

Comparing the ability of humans and DNNs to recognise closed contours in cluttered images

Extending DeepGaze II: Scanpath prediction from deep features

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

Towards matching peripheral appearance for arbitrary natural images using deep features

Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks

Testing models of peripheral encoding using metamerism in an oddity paradigm

Metamers of the ventral stream revisited

Sensitivity to gaze-contingent contrast increments in naturalistic movies: An exploratory report and model comparison

Visual sensitivity under naturalistic viewing conditions

Characterization of Field Loss Based on Microperimetry Is Predictive of Face Recognition Difficulties

Analyses of contrast sensitivity assessments over time: A pilot study

Image correlates of crowding in natural scenes

Contrast Sensitivity As A Predictor Of Central Field Loss

Image Correlates of Peripheral Contour Discrimination in Natural Scenes

Image correlates of crowding in natural scenes

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