3D Instance Segmentation

3D Instance Segmentation is a computer vision task that distinguishes individual object instances in three-dimensional space by assigning unique labels to each entity while preserving their volumetric spatial extent.

155

Publications

10.4K

Citations

698

Authors

241

Institutions

Publications per year

2017–2026

152

Authors

698

  1. JJ
    Jiaya Jia

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 867 citations

    6

    h-index

  2. FE
    Francis Engelmann

    RWTH Aachen University, Germany

    5 publications · 285 citations

    5

    h-index

  3. ST
    Siyu Tang

    Max Planck Institute for Intelligent Systems, Germany

    4 publications · 249 citations

    4

    h-index

  4. AD
    Angela Dai

    Technical University of Munich, Germany

    4 publications · 675 citations

    4

    h-index

  5. CS
    Chunhua Shen

    The University of Adelaide, Australia

    4 publications · 437 citations

    4

    h-index

1–5 of 698

Venues

  1. arXiv (Cornell University)

    Repository · 22 publications · 1K citations

    13

    h-index

  2. Sensors

    5 publications · 123 citations

    5

    h-index

  3. IEEE Robotics and Automation Letters

    5 publications · 144 citations

    5

    h-index

  4. 4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 363 citations

    4

    h-index

1–5