Concepedia

Label Reconstruction

Label Reconstruction is a methodological contribution in label forensics that identifies and restores the original labeling process or intended ground truth labels by analyzing inconsistencies, noise, or biases in observed labels, thereby distinguishing itself from general label cleaning through its focus on inferring the causal or procedural origins of label assignment.

18

Publications

1.8K

Citations

49

Authors

31

Institutions

Publications per year

2017–2026

11

Parents

Publications

18

Robust Higher Order Potentials for Enforcing Label Consistency

Pushmeet Kohli, Ľubor Ladický, Philip H. S. Torr · International Journal of Computer Vision · 2009 · 893 citations · Full text

, , +7

Robust higher order potentials for enforcing label consistency

Pushmeet Kohli, Ľubor Ladický, Philip H. S. Torr · 2008 · 202 citations

, , +7

Estimating Labels from Label Proportions

Novi Quadrianto, Alex Smola, Tibério S. Caetano et al. · 2009 · 150 citations · Full text

, , +12

Estimating labels from label proportions

Novi Quadrianto, Alex Smola, Tibério S. Caetano et al. · 2008 · 107 citations

, , +12

Deep Semantic-Alignment Hashing for Unsupervised Cross-Modal Retrieval

Dejie Yang, Dayan Wu, Wanqian Zhang et al. · 2020 · 99 citations

, , +14

1–5 of 18

Authors

49

  1. ĽL
    Ľubor Ladický

    Oxford Brookes University, United Kingdom

    2 publications · 1.1K citations

    2

    h-index

  2. TS
    Tibério S. Caetano

    Data61, Australia

    2 publications · 257 citations

    2

    h-index

  3. PH
    Philip H. S. Torr

    Oxford Brookes University, United Kingdom

    2 publications · 1.1K citations

    2

    h-index

  4. NQ
    Novi Quadrianto

    University of Sussex, United Kingdom

    2 publications · 257 citations

    2

    h-index

  5. AS
    Alex Smola

    Carnegie Mellon University, United States

    2 publications · 257 citations

    2

    h-index

1–5 of 49

Institutions

31

  1. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    11 publications

    521 citations

  2. Oxford Brookes University

    Oxford, United Kingdom

    2 h-index

    4 publications

    2.2K citations

  3. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    2 h-index

    2 publications

    1.1K citations

  4. University of Electronic Science and Technology of China

    Chengdu, China

    2 h-index

    6 publications

    117 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    2 publications

    39 citations

  6. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    5 publications

    294 citations

  7. National University of Defense Technology

    Changsha, China

    1 h-index

    1 publications

    99 citations

  8. Institute of Electronics

    Beijing, China

    1 h-index

    6 publications

    192 citations

1–8 of 31

Venues

  1. IEEE Transactions on Multimedia

    1 publications · 16 citations

    1

    h-index

  2. Neural Information Processing Systems

    Conference · 1 publications · 57 citations

    1

    h-index

  3. Neural Networks

    1 publications · 30 citations

    1

    h-index

  4. 1

    h-index

  5. International Journal of Computer Vision

    1 publications · 893 citations

    1

    h-index

1–5