Concepedia

Scene Understanding

Scene Understanding is a subfield of computer vision and robot perception that seeks to infer a coherent high-level semantic and geometric representation of a scene—including the identities, spatial layouts, relationships, and dynamics of its constituent elements—from raw sensor data to support autonomous interpretation and decision-making.

24.5K

Publications

2.6M

Citations

44.1K

Authors

4.2K

Institutions

Publications per year

2017–2026

16.5K

Parents

Children

Publications

24.5K

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 54.2K citations

, , +14

Rethinking the Inception Architecture for Computer Vision

Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al. · 2016 · 30.9K citations

, , +13

Fast R-CNN

Ross Girshick · 2015 · 27.9K citations

, , +13

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Mark Sandler, Andrew Howard, Menglong Zhu et al. · 2018 · 25.4K citations

, , +11

1–5 of 24.5K

Authors

44.1K

  1. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    111 publications · 42.7K citations

    72

    h-index

  2. CS
    Chunhua Shen

    The University of Adelaide, Australia

    127 publications · 24.1K citations

    63

    h-index

  3. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    90 publications · 42.8K citations

    59

    h-index

  4. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    133 publications · 42K citations

    57

    h-index

  5. RU
    Raquel Urtasun

    University of Toronto, Canada

    80 publications · 19.3K citations

    56

    h-index

1–5 of 44.1K

Institutions

4.2K

  1. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    121 h-index

    805 publications

    233.3K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    117 h-index

    1.1K publications

    176.3K citations

  3. Stanford University

    Stanford, United States

    115 h-index

    868 publications

    273.1K citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    115 h-index

    684 publications

    228.6K citations

  5. Chinese Academy of Sciences

    Beijing, China

    114 h-index

    2.3K publications

    186.3K citations

  6. Google (United States)

    Mountain View, United States

    114 h-index

    963 publications

    442.6K citations

  7. ETH Zurich

    Zurich, Switzerland

    109 h-index

    911 publications

    124.6K citations

  8. Tsinghua University

    Beijing, China

    106 h-index

    1.3K publications

    126.8K citations

1–8 of 4.2K

Venues

  1. arXiv (Cornell University)

    Repository · 2.5K publications · 319.5K citations

    187

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 668 publications · 217.6K citations

    168

    h-index

  3. IEEE Transactions on Image Processing

    563 publications · 46.3K citations

    116

    h-index

  4. 101

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 385 publications · 33.2K citations

    100

    h-index

1–5