no code implementations • 26 Mar 2024 • Julia Guerrero-Viu, J. Daniel Subias, Ana Serrano, Katherine R. Storrs, Roland W. Fleming, Belen Masia, Diego Gutierrez
Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fully-understood interactions with external factors, such as geometry and lighting.
no code implementations • 18 Jan 2023 • O. R. Kirubeswaran, Katherine R. Storrs
Finally, we tested the robustness of the illusion on 10 identical PredNets trained on the same video data; we found a large variation in the ability of the network to reproduce the illusion and predict motion for simplified variants of the illusion.
no code implementations • 4 Mar 2019 • Katherine R. Storrs, Nikolaus Kriegeskorte
There are many levels at which cognitive neuroscientists can use deep learning in their work, from inspiring theories to serving as full computational models.
