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D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
17099
World Ranking
2435
National Ranking
750

Research.com Recognitions

  • 2008 - Member of the National Academy of Sciences

Overview

Wilson S. Geisler is affiliated with The University of Texas at Austin in the United States. Their research spans primarily the fields of Neuroscience and Computer Science, with a significant focus on subfields such as Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Aerospace Engineering.

The research topics often addressed by Wilson S. Geisler include visual perception and processing mechanisms, visual attention and saliency detection, infrared target detection methodologies, neural dynamics and brain function, neural and behavioral psychology studies, remote-sensing image classification, and olfactory and sensory function studies.

Recent published works by Wilson S. Geisler include:

  • Local reliability weighting explains identification of partially masked objects in natural images (2020), published in Proceedings of the National Academy of Sciences
  • Similar neural and perceptual masking effects of low-power optogenetic stimulation in primate V1 (2022), published in eLife
  • Similar masking effects of natural backgrounds on detection performances in humans, macaques, and macaque-V1 population responses (2021), published in Journal of Neurophysiology
  • Stereo slant discrimination of planar 3D surfaces: Frontoparallel versus planar matching (2022), published in Journal of Vision
  • Spatiotemporal defocus sensitivity function of the human visual system (2023), published in Biomedical Optics Express

Wilson S. Geisler has frequently published in the following venues:

  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences

Co-authorship frequently includes Spencer C. Chen, Eyal Seidemann, Can Oluk, Abhranil Das, and Yuzhi Chen, reflecting collaboration across multiple research projects.

Wilson S. Geisler was recognized as a Member of the National Academy of Sciences in 2008.

Best Publications

  • Multichannel texture analysis using localized spatial filters

    A.C. Bovik;M. Clark;W.S. Geisler

  • Image quality assessment based on a degradation model

    N. Damera-Venkata;T.D. Kite;W.S. Geisler;B.L. Evans

  • Optimal eye movement strategies in visual search

    J. Najemnik;W.S. Geisler

  • Visual Perception and the Statistical Properties of Natural Scenes

    Wilson S. Geisler

  • Edge co-occurrence in natural images predicts contour grouping performance.

    Wilson S Geisler;Jeffrey S Perry;B. J. Super;D. P. Gallogly

  • Motion selectivity and the contrast-response function of simple cells in the visual cortex.

    Duane G. Albrecht;Wilson S. Geisler

  • Real-time foveated multiresolution system for low-bandwidth video communication

    Wilson S. Geisler;Jeffrey S. Perry

  • Sequential ideal-observer analysis of visual discriminations.

    Wilson S. Geisler

  • Independence of luminance and contrast in natural scenes and in the early visual system

    Valerio Mante;Robert A Frazor;Robert A Frazor;Vincent Bonin;Wilson S Geisler

  • Local luminance and contrast in natural images

    Robert A. Frazor;Wilson S. Geisler

  • Visual cortex neurons in monkeys and cats: Detection, discrimination, and identification

    Wilson S. Geisler;Duane G. Albrecht

  • Contributions of ideal observer theory to vision research.

    Wilson S. Geisler

  • Physical limits of acuity and hyperacuity

    Wilson S. Geisler

  • Eye movement statistics in humans are consistent with an optimal search strategy

    Jiri Najemnik;Wilson S Geisler

  • Cortical neurons: isolation of contrast gain control.

    Wilson S. Geisler;Duane G. Albrecht

  • The physical limits of grating visibility

    Martin S. Banks;Wilson S. Geisler;Patrick J. Bennett

  • Foveated image coding system and method for image bandwidth reduction

    Wilson S. Geisler;Philip T. Kortum

  • SEPARATION OF LOW-LEVEL AND HIGH-LEVEL FACTORS IN COMPLEX TASKS: VISUAL SEARCH

    Wilson S. Geisler;Kee-Lee Chou

  • Optimal decoding of correlated neural population responses in the primate visual cortex

    Yuzhi Chen;Wilson S Geisler;Eyal Seidemann

  • Visual cortex neurons of monkeys and cats: temporal dynamics of the contrast response function.

    Duane G. Albrecht;Wilson S. Geisler;Robert A. Frazor;Alison M. Crane

Frequent Co-Authors

Alan C. Bovik
Alan C. Bovik The University of Texas at Austin
Lawrence K. Cormack
Lawrence K. Cormack The University of Texas at Austin
Philip Kortum
Philip Kortum Rice University
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Charu Ramakrishnan
Charu Ramakrishnan Stanford University
Matteo Carandini
Matteo Carandini University College London
Karl Deisseroth
Karl Deisseroth Stanford University
David J. Heeger
David J. Heeger New York University
Brian L. Evans
Brian L. Evans The University of Texas at Austin
Kee Lee Chou
Kee Lee Chou Education University of Hong Kong

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