richard murray | publications

Evaluating lightness constancy in a high-definition VR environment: Patel KY, Wilcox LM, Maloney LT, Ehinger KE, Singh S, Murray RF (2024)
Color and Imaging Conference 32 PDF (Best Paper Award)
CNP2D: The chromatic noise pattern discrimination dataset: Canham TD, Morovic P, Murray RF, Morovic J, Brown MS (2024)
Color and Imaging Conference 32 PDF
Lightness constancy in reality, in virtual reality, and on flat-panel displays: Patel KY, Wilcox LM, Maloney LT, Ehinger KA, Patel JY, Wiedenmann E, Murray RF (2024)
Behavior Research Methods PDF DOI OSF
Noise prism: a novel multispectral visualization technique: Canham TD, Vazquez-Corral J, Long DL, Murray RF, Brown MS (2023)
Color and Imaging Conference 31 PDF (Best Student Paper Award)
The effect of perceptual optimization on color space navigability: Canham TD, MacKenzie SI, Murray RF, Brown MS (2023)
Graphics Interface 2023 PDF
An intrinsic image network evaluated as a model of human lightness perception: Murray RF, Brainard DH, Flachot A, Patel JY (2023)
Human Vision and Electronic Imaging 2023 PDF
Luminance calibration of virtual reality displays in Unity: Murray RF, Patel KY, Wiedenmann ES (2022)
Journal of Vision, 22(13):1, 1-9 PDF OSF
An intrinsic image network with properties of human lightness perception: Murray RF, Brainard DH, Patel JY, Weiss E, Patel KY (2022)
Color and Imaging Conference 30 PDF
A 360° omnidirectional photometer using a Ricoh Theta Z1: MacPherson I, Murray RF, Brown MS (2022)
Color and Imaging Conference 30 PDF
Efficiency of object recognition networks on an absolute scale: Murray RF, Kehoe DH (2022)
Cognitive Computational Neuroscience 2022 PDF
Lightness perception in complex scenes: Murray RF (2021)
Annual Review of Vision Science, 7, 416-437 PDF
Number adaptation can be dissociated from density adaptation: DeSimone, K, Kim, M, Murray RF (2020)
Psychological Science, 30(11), 1470-1474 PDF OSF
A model of lightness perception guided by probabilistic assumptions about lighting and reflectance: Murray RF (2020)
Journal of Vision, 20(7):28, 1-22 PDF OSF
Visual perception and natural illumination: Murray RF, Adams WJ (2019)
Current Opinion in Behavioral Science, 30:48-54 PDF
Shape from shading under inconsistent illumination: Wilder J, Adams WJ, Murray RF (2019)
Journal of Vision, 19(6):2, 1-15 PDF
What image features guide lightness perception?: Kim M, Gold JM, Murray RF (2018)
Journal of Vision, 18(13):1, 1-20 PDF
Lightness matching and perceptual similarity: Patel KY, Munasinghe AP, Murray RF (2018)
Journal of Vision, 18(5):1, 1-13 PDF
Optimal combination of illusory and luminance-defined 3-D surfaces: a role for ambiguity: Hartle B, Wilcox LM, Murray RF (2018)
Journal of Vision, 18(4):14, 1-15 PDF
Classification images in a very general decision model: Murray RF (2016)
Vision Research, 123, 26-32 PDF
Perceived three-dimensional shape toggles perceived glow: Kim M, Wilcox LM, Murray RF (2016)
Current Biology, 26(9), R350-R351 PDF movie supporting information
Posterior probability matching and human perceptual decision making: Murray RF, Patel K, Yee A (2015)
PLOS Computational Biology, 11(6): e1004342 PDF data and code
Classification images reveal decision variables and strategies in forced choice tasks: Pritchett LM, Murray RF (2015)
Proceedings of the National Academy of Sciences, 112(23), 7321-7326 PDF data and code
The role of natural lighting diffuseness in human visual perception: Morgenstern Y, Geisler WS, Murray RF (2015)
Human Vision and Electronic Imaging XX PDF
Human vision is attuned to the diffuseness of natural light: Morgenstern M, Geisler WS, Murray RF (2014)
Journal of Vision, 14(9):15, 1-18 PDF data and code
Human lightness perception is guided by simple assumptions about reflectance and lighting: Murray RF (2013)
Human Vision and Electronic Imaging XVIII PDF
The statistics of shape, reflectance, and lighting in real-world scenes: Murray RF (2013)
In Dickinson and Pizlo (Eds.), Shape perception in human and computer vision PDF
Classification images and bubbles images in the generalized linear model: Murray RF (2012)
Journal of Vision, 12(7):2, 1-8 PDF
The human visual system's assumption that light comes from above is weak: Morgenstern Y, Murray RF, Harris LR (2011)
Proceedings of the National Academy of Sciences, 108(30), 12551-12553 PDF
Classification images: a review: Murray RF (2011)
Journal of Vision, 11(5):2, 1-25 PDF
Cue combination on the circle and the sphere: Murray RF, Morgenstern Y (2010)
Journal of Vision, 10(11):15, 1-11 PDF
The intrinsic constraint approach to cue combination: an empirical and theoretical evaluation: MacKenzie KJ, Murray RF, Wilcox LM (2008)
Journal of Vision, 8(8):5, 1-10 PDF
Visual memory decay is deterministic: Gold JM, Murray RF, Sekuler AB, Bennett PJ, Sekuler R (2005)
Psychological Science, 16(10), 769-774 PDF
Classification images predict absolute efficiency: Murray RF, Bennett PJ, Sekuler AB (2005)
Journal of Vision, 5(2), 139-149 PDF
Troubles with bubbles: Murray RF, Gold JM (2004)
Vision Research, 44(5), 461-470 PDF Reply and re-reply Related work
Saccadic and perceptual performance in visual search tasks. II. Letter discrimination: Murray RF, Beutter BR, Eckstein MP, Stone LS (2003)
Journal of the Optical Society of America A, 20(7), 1356-1370 PDF
Practice doesn't make perfect: Geisler WS, Murray RF (2003)
Nature, 423, 696-697 PDF
A linear cue combination framework for understanding selective attention: Murray RF, Sekuler AB, Bennett PJ (2003)
Journal of Vision, 3(2), 116-145 PDF
Optimal methods for calculating classification images: Weighted sums: Murray RF, Bennett PJ, Sekuler AB (2002)
Journal of Vision, 2(1), 79-104 PDF
Time course of amodal completion revealed by a shape discrimination task: Murray RF, Sekuler AB, Bennett PJ (2001)
Psychonomic Bulletin and Review, 8(4), 713-720 PDF
Deriving behavioural receptive fields for visually completed contours: Gold JM, Murray RF, Bennett PJ, Sekuler AB (2000)
Current Biology, 10(11), 663-666 PDF An interesting response

Publications