Scene Exploration

Scene Exploration is a computational framework within active vision that directs a sensor’s attention through a visual environment to sequentially acquire and integrate information for building or understanding a scene, distinguishing itself by its emphasis on purposeful, adaptive, and goal-driven viewing strategies to reduce uncertainty about unobserved regions.

131

Publications

6.2K

Citations

424

Authors

186

Institutions

Publications per year

2017–2026

48

Authors

424

  1. DS
    Devendra Singh Chaplot

    Carnegie Mellon University, United States

    4 publications · 511 citations

    4

    h-index

  2. DG
    Dhiraj Gandhi

    Carnegie Mellon University, United States

    4 publications · 511 citations

    4

    h-index

  3. VP
    Voicu Popescu

    Purdue University West Lafayette, United States

    3 publications · 85 citations

    3

    h-index

  4. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 87 citations

    3

    h-index

  5. SB
    Steffi Beckhaus

    Universität Hamburg, Germany

    3 publications · 68 citations

    3

    h-index

1–5 of 424

Venues

  1. Journal of Vision

    7 publications · 320 citations

    7

    h-index

  2. ACM Transactions on Graphics

    TOG · 6 publications · 240 citations

    6

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 550 citations

    5

    h-index

  4. IEEE Robotics and Automation Letters

    3 publications · 235 citations

    3

    h-index

  5. 3

    h-index

1–5