Search Results for author:
Found 4 papers, 2 papers with code
Self-Supervised Learning of Color Constancy
Color constancy (CC) describes the ability of the visual system to perceive an object as having a relatively constant color despite changes in lighting conditions.
Predicting Perceived Gloss: Do Weak Labels Suffice?
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.
Deep Neural Models for color discrimination and color constancy
High levels of color constancy were achieved with different DNN architectures.
Distinguishing mirror from glass: A 'big data' approach to material perception
Distinguishing mirror from glass is particularly challenging as both materials derive their appearance from their surroundings, yet we rarely experience difficulties telling them apart.
