Multi-view Active Vision

Multi-View Active Vision is a computational framework within active vision that integrates sequential decision-making with multiple, strategically acquired views of a scene to actively improve perception by optimizing view selection for enhanced interpretability or task performance.

28

Publications

1.4K

Citations

89

Authors

44

Institutions

Publications per year

2017–2026

7

Authors

89

  1. MM
    Matthew Mackay

    University of Toronto, Canada

    3 publications · 45 citations

    3

    h-index

  2. BB
    B. Benhabib

    University of Toronto, Canada

    3 publications · 45 citations

    3

    h-index

  3. LZ
    Lintao Zheng

    National University of Defense Technology, China

    2 publications · 91 citations

    2

    h-index

  4. KX
    Kai Xu

    National University of Defense Technology, China

    2 publications · 91 citations

    2

    h-index

  5. YC
    Yao‐Jen Chang

    Chung Yuan Christian University, Taiwan

    1 publications · 10 citations

    1

    h-index

1–5 of 89

Venues

  1. Journal of Intelligent & Robotic Systems

    2 publications · 34 citations

    2

    h-index

  2. The International Journal of Robotics Research

    IJRR · 1 publications · 403 citations

    1

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Nature

    1 publications · 57 citations

    1

    h-index

1–5