Semantic Scene Understanding

Semantic Scene Understanding is a computational framework that enables augmented reality systems to interpret and represent environmental scenes by identifying objects, their spatial relationships, and functional meanings within a given context.

955

Publications

96.9K

Citations

3.1K

Authors

785

Institutions

Publications per year

2017–2026

622

Authors

3.1K

  1. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    15 publications · 2.1K citations

    13

    h-index

  2. JL
    Jiebo Luo

    University of Rochester, United States

    13 publications · 715 citations

    12

    h-index

  3. MS
    Manolis Savva

    Stanford University, United States

    12 publications · 7.6K citations

    12

    h-index

  4. KY
    Kailun Yang

    Zhejiang University, China

    12 publications · 548 citations

    12

    h-index

  5. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    12 publications · 7.2K citations

    12

    h-index

1–5 of 3.1K

Venues

  1. arXiv (Cornell University)

    Repository · 88 publications · 6.5K citations

    33

    h-index

  2. 19

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 17 publications · 6.9K citations

    15

    h-index

  4. IEEE Robotics and Automation Letters

    17 publications · 1.1K citations

    15

    h-index

  5. IEEE Access

    14 publications · 621 citations

    14

    h-index

1–5