Cluttered Scene Perception

Cluttered Scene Perception is a computational framework within the field of visual perception that specifically addresses the challenge of identifying, localizing, and interpreting objects in complex visual environments where high object density, occlusion, and background interference degrade perceptual accuracy.

160

Publications

10.6K

Citations

487

Authors

207

Institutions

Publications per year

2017–2026

27

Authors

487

  1. ZK
    Zoe Kourtzi

    University of Birmingham, United Kingdom

    6 publications · 317 citations

    6

    h-index

  2. MV
    Marius V. Peelen

    University of Trento, Italy

    4 publications · 452 citations

    4

    h-index

  3. CK
    Christof Koch

    California Institute of Technology, United States

    4 publications · 486 citations

    4

    h-index

  4. SK
    Sabine Kästner

    Princeton University, United States

    3 publications · 1.2K citations

    3

    h-index

  5. DC
    David C. O’Carroll

    The University of Adelaide, Australia

    3 publications · 94 citations

    3

    h-index

1–5 of 487

Venues

  1. Journal of Vision

    12 publications · 624 citations

    11

    h-index

  2. Journal of Neuroscience

    7 publications · 804 citations

    8

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 6 publications · 765 citations

    6

    h-index

  4. Journal of Cognitive Neuroscience

    6 publications · 241 citations

    6

    h-index

  5. PLoS ONE

    4 publications · 217 citations

    4

    h-index

1–5