Automated View Alignment

Automated View Alignment is a computational method that systematically identifies and establishes correspondences between distinct data representations or perspectives by minimizing manual intervention through algorithmic inference.

7

Publications

291

Citations

18

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

18

  1. SD
    Stephen DiVerdi

    Adobe Systems (United States), United States

    2 publications · 173 citations

    2

    h-index

  2. TF
    Thomas Funkhouser

    Princeton University, United States

    2 publications · 173 citations

    2

    h-index

  3. VG
    Vladimir G. Kim

    Adobe Systems (United States), United States

    2 publications · 173 citations

    2

    h-index

  4. WL
    Wilmot Li

    Adobe Systems (United States), United States

    2 publications · 173 citations

    2

    h-index

  5. NJ
    Niloy J. Mitra

    University College London, United Kingdom

    2 publications · 173 citations

    2

    h-index

1–5 of 18

Venues

  1. Dentomaxillofacial Radiology

    DMFR · 2 publications · 56 citations

    2

    h-index

  2. ACM Transactions on Graphics

    TOG · 2 publications · 173 citations

    2

    h-index

  3. International Journal of Computer Vision

    1 publications · 11 citations

    1

    h-index

  4. Oral Surgery Oral Medicine Oral Pathology

    1 publications · 33 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

1–5