Concepedia

Landmark Annotation

Landmark Annotation is a type of image annotation that identifies specific, predefined key points or landmarks within an image to represent critical spatial features, distinguishing it from other annotation types by its focus on precise location-based markers for tasks such as facial recognition, pose estimation, or anatomical structure mapping.

80

Publications

11.4K

Citations

323

Authors

139

Institutions

Publications per year

2017–2026

42

Variants

Landmark Annotations

Parents

Publications

80

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

Jiankang Deng, Jia Guo, Evangelos Ververas et al. · 2020 · 1.5K citations

, , +13

How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

2017 · 1.4K citations · Full text

, , +15

How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks)

Adrian Bulat, Georgios Tzimiropoulos · Nottingham ePrints (University of Nottingham) · 2017 · 1.3K citations · Full text

, , +15

300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge

Christos Sagonas, Georgios Tzimiropoulos, Stefanos Zafeiriou et al. · 2013 · 1.1K citations · Full text

, , +10

Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

Martin Köstinger, Paul Wohlhart, Peter M. Roth et al. · 2011 · 1K citations

, , +12

1–5 of 80

Authors

323

  1. SZ
    Stefanos Zafeiriou

    Imperial College London, United Kingdom

    6 publications · 3.4K citations

    6

    h-index

  2. JD
    Jiankang Deng

    Imperial College London, United Kingdom

    3 publications · 1.8K citations

    3

    h-index

  3. GT
    Georgios Tzimiropoulos

    University of Nottingham, United Kingdom

    3 publications · 2.9K citations

    3

    h-index

  4. CS
    Christos Sagonas

    Imperial College London, United Kingdom

    3 publications · 1.6K citations

    3

    h-index

  5. MP
    Maja Pantić

    Imperial College London, United Kingdom

    3 publications · 1.6K citations

    3

    h-index

1–5 of 323

Institutions

139

  1. Imperial College London

    London, United Kingdom

    5 h-index

    22 publications

    7.5K citations

  2. Google (United States)

    Mountain View, United States

    4 h-index

    26 publications

    2.3K citations

  3. University of Nottingham

    Nottingham, United Kingdom

    3 h-index

    6 publications

    5.5K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    7 publications

    596 citations

  5. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    501 citations

  6. University of Amsterdam

    Amsterdam, The Netherlands

    2 h-index

    5 publications

    95 citations

  7. Yonsei University

    Seoul, South Korea

    2 h-index

    6 publications

    268 citations

  8. University of Oulu

    Oulu, Finland

    2 h-index

    2 publications

    241 citations

1–8 of 139

Venues

  1. Computer Vision and Image Understanding

    CVIU · 2 publications · 36 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 38 citations

    2

    h-index

  3. Scientific Reports

    3 publications · 292 citations

    2

    h-index

  4. 1

    h-index

  5. Applied Sciences

    1 publications · 17 citations

    1

    h-index

1–5