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Christopher DiMattina

Showing results (11-20 of 19) with videos related to

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Frontiers in Psychology|August 15, 2020
Object Clusters or Spectral Energy? Assessing the Relative Contributions of Image Phase and Amplitude Spectra to TrypophobiaR Nathan Pipitone, Christopher DiMattina
Plos Computational Biology|March 19, 2019
Modeling second-order boundary perception: A machine learning approachChristopher DiMattina, Curtis L Baker
Scientific Reports|May 13, 2021
Segmenting surface boundaries using luminance cuesChristopher DiMattina, Curtis L Baker
Journal of Vision|December 21, 2012
Detecting natural occlusion boundaries using local cuesChristopher DiMattina, Sean A Fox, Michael S Lewicki
Plos Computational Biology|September 14, 2022
Distinguishing shadows from surface boundaries using local achromatic cuesChristopher DiMattina, Josiah J Burnham, Betul N Guner, et al.
Journal of Vision|January 15, 2026
Local cues enable classification of image patches as surfaces, object boundaries, or illumination changesChristopher DiMattina, Eden E Sterk, Madelyn G Arena, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Local cues enable classification of image patches as surfaces, object boundaries, or illumination changesChristopher DiMattina, Eden E Sterk, Madelyn G Arena, et al.
Scientific Reports|February 29, 2024
Trypophobia, skin disease, and the visual discomfort of natural texturesChristopher DiMattina, R Nathan Pipitone, Martin R Renteria, et al.
Cognition & Emotion|May 3, 2022
Evaluating the 'skin disease-avoidance' and 'dangerous animal' frameworks for understanding trypophobiaR Nathan Pipitone, Christopher DiMattina, Emily Renae Martin, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Frontiers in Psychology|August 15, 2020
Object Clusters or Spectral Energy? Assessing the Relative Contributions of Image Phase and Amplitude Spectra to TrypophobiaR Nathan Pipitone, Christopher DiMattina
Plos Computational Biology|March 19, 2019
Modeling second-order boundary perception: A machine learning approachChristopher DiMattina, Curtis L Baker
Scientific Reports|May 13, 2021
Segmenting surface boundaries using luminance cuesChristopher DiMattina, Curtis L Baker
Journal of Vision|December 21, 2012
Detecting natural occlusion boundaries using local cuesChristopher DiMattina, Sean A Fox, Michael S Lewicki
Plos Computational Biology|September 14, 2022
Distinguishing shadows from surface boundaries using local achromatic cuesChristopher DiMattina, Josiah J Burnham, Betul N Guner, et al.
Journal of Vision|January 15, 2026
Local cues enable classification of image patches as surfaces, object boundaries, or illumination changesChristopher DiMattina, Eden E Sterk, Madelyn G Arena, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Local cues enable classification of image patches as surfaces, object boundaries, or illumination changesChristopher DiMattina, Eden E Sterk, Madelyn G Arena, et al.
Scientific Reports|February 29, 2024
Trypophobia, skin disease, and the visual discomfort of natural texturesChristopher DiMattina, R Nathan Pipitone, Martin R Renteria, et al.
Cognition & Emotion|May 3, 2022
Evaluating the 'skin disease-avoidance' and 'dangerous animal' frameworks for understanding trypophobiaR Nathan Pipitone, Christopher DiMattina, Emily Renae Martin, et al.
Pageof 2