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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

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