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Vision Sciences Society Annual Meeting Abstract September 2024

Deep learning models for lightness constancy can exploit both natural lighting cues and rendering artifacts.

Alban Flachot; Jaykishan Patel; Marcus A. Brubaker; Thomas S.A. Wallis; David H. Brainard; Richard F. Murray

Journal of Vision. 2024; 24(10):1463. https://doi.org/10.1167/jov.24.10.1463

Vision Sciences Society Annual Meeting Abstract August 2023

Can deep neural networks for intrinsic image decomposition model human lightness constancy?

Alban Flachot; Jaykishan Patel; Khushbu Patel; Tom S. A. Wallis; Marcus Brubaker; David H. Brainard; Richard F. Murray

Journal of Vision. 2023; 23(9):5467. https://doi.org/10.1167/jov.23.9.5467

Vision Sciences Society Annual Meeting Abstract August 2023

A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions

Jaykishan Patel; Alban Flachot; Javier Vazquez-Corral; David H. Brainard; Thomas S. A. Wallis; Marcus A. Brubaker; Richard F. Murray

Journal of Vision. 2023; 23(9):4817. https://doi.org/10.1167/jov.23.9.4817

ARVO Annual Meeting Abstract April 2010

Impact of Time Between Collection on Human Tear Film Fluid Osmolarity

A. Keech; M. Senchyna; B. D. Sullivan; M. A. Lemp; L. W. Jones; M. J. Brubaker

Invest. Ophthalmol. Vis. Sci.. 2010; 51(13):4174.

ARVO Annual Meeting Abstract May 2008

Comparison of Phenol Red Thread Test With Schirmer I Test for the Reproducible Measurement of Tear Production

R. K. Williams; M. Senchyna; M. Wax; M. Brubaker

Invest. Ophthalmol. Vis. Sci.. 2008; 49(13):5326.

ARVO Annual Meeting Abstract May 2008

The Correlation of an Innovative in vivo Dosing Method With Clinical Trial Results of the Ocular Penetration of Dexamethasone Using a New TobraDex Formulation

M. J. Brubaker; L. Bernal-Perez; A. C. Brooks; G. R. Owen

Invest. Ophthalmol. Vis. Sci.. 2008; 49(13):5676.

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