Scene Perception: Natural image statistics

Poster Session: Wednesday, May 24, 2023, 8:30 am – 12:30 pm, Pavilion

Abstract# 

Poster Title

First Author

63.448

Ensemble Scene Processing is Regulated by Feature Complexity

Tharmaratnam, Vignash

63.449

Overestimation of Variability in Ensembles of Size and Color Despite Focusing Attention on Relevant Features

Warden, Amelia C.

63.450

Contextual coherence increases perceived numerosity independent of semantic content

Qu, Chuyan

63.451

Toddler and preschooler attention to naturalistic scene features

Klotz, Shannon

63.452

The statistics of visual input change systematically with development

Anderson, Erin

63.453

The time course of adaptation in modified reality: isotropic environments and orientation anisotropies

Richard, Bruno

63.454

Visual perceptual learning of natural and Portilla & Simoncelli images occurs in a significantly different manner than visual perceptual learning of unnatural images

Shibata, Kazuhisa

63.456

N300 sensitivity to statistical regularity persists for low-pass filtered scenes

Chong, Ling Lee

63.457

Eye movements during active vision are not driven by saliency, meaning, or aesthetics

Hart, Jennifer

63.458

Local image statistics can account for the perceived naturalness of image contrast

Fukiage, Taiki

63.459

Viewpoint and seasonal variations in natural scene statistics

Greene, Michelle

63.460

Understanding the high-dimensional nature of visual cortex representations

Gauthaman, Raj Magesh