Concepedia

Scene Attribute Learning

Scene Attribute Learning is a machine learning framework that models semantically meaningful mid-level visual properties to enable fine-grained scene understanding by characterizing scenes through descriptive attribute annotations rather than categorical labels alone.

31

Publications

2.5K

Citations

111

Authors

59

Institutions

Publications per year

2017–2026

13

Parents

Publications

31

Pedestrian detection aided by deep learning semantic tasks

Yonglong Tian, Ping Luo, Xiaogang Wang et al. · 2015 · 421 citations

, , +16

The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

Geneviève Patterson, Chen Xu, Hang Su et al. · International Journal of Computer Vision · 2014 · 420 citations

, , +15

Transient attributes for high-level understanding and editing of outdoor scenes

Pierre-Yves Laffont, Zhile Ren, Xiaofeng Tao et al. · ACM Transactions on Graphics · 2014 · 293 citations

, , +7

Deeply learned attributes for crowded scene understanding

Jing Shao, Kai Kang, Chen Change Loy et al. · 2015 · 290 citations

, , +14

A Joint Model of Language and Perception for Grounded Attribute Learning

Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer et al. · arXiv (Cornell University) · 2012 · 184 citations · Full text

, , +17

1–5 of 31

Authors

111

  1. NF
    Nicholas FitzGerald

    University of Washington, United States

    2 publications · 274 citations

    2

    h-index

  2. LZ
    Luke Zettlemoyer

    University of Washington, United States

    2 publications · 274 citations

    2

    h-index

  3. ZJ
    Zhong Ji

    Tianjin University, China

    2 publications · 60 citations

    2

    h-index

  4. AK
    Adriana Kovashka

    University of Pittsburgh, United States

    2 publications · 34 citations

    2

    h-index

  5. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    2 publications · 711 citations

    2

    h-index

1–5 of 111

Institutions

59

  1. Tianjin University

    Tianjin, China

    3 h-index

    9 publications

    273 citations

  2. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    2 h-index

    7 publications

    2.4K citations

  3. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    5 publications

    513 citations

  4. Intel (United States)

    Santa Clara, United States

    2 h-index

    3 publications

    47 citations

  5. University of Washington

    Seattle, United States

    2 h-index

    10 publications

    1.4K citations

  6. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    2 h-index

    2 publications

    156 citations

  7. SRI International

    Menlo Park, United States

    1 h-index

    1 publications

    33 citations

  8. Hacettepe University

    Ankara, Türkiye

    1 h-index

    3 publications

    30 citations

1–8 of 59

Venues

  1. Pattern Recognition Letters

    3 publications · 76 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 291 citations

    3

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 78 citations

    2

    h-index

  4. ACM Transactions on Graphics

    TOG · 2 publications · 303 citations

    2

    h-index

  5. IEEE Transactions on Multimedia

    1 publications · 23 citations

    1

    h-index

1–5