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3D pose estimation in videos using convolutional neural network.

2019 doctoral thesis by Huyuan Shangguan at University of Canterbury
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3D pose estimation in videos using convolutional neural network.

Summary

3D pose estimation in videos using convolutional neural network. is a doctoral thesis[1].

Key Facts

  • 3D pose estimation in videos using convolutional neural network.'s instance of is recorded as doctoral thesis[2].
  • 3D pose estimation in videos using convolutional neural network. was published by UC Research Repository[3].
  • 3D pose estimation in videos using convolutional neural network.'s language of work or name is recorded as English[4].
  • 3D pose estimation in videos using convolutional neural network.'s country of origin is recorded as New Zealand[5].
  • 3D pose estimation in videos using convolutional neural network. was published on 2019[6].
  • 3D pose estimation in videos using convolutional neural network.'s main subject is computer science[7].
  • 3D pose estimation in videos using convolutional neural network.'s title is recorded as 3D pose estimation in videos using convolutional neural network.[8].
  • 3D pose estimation in videos using convolutional neural network.'s author name string is recorded as Huyuan Shangguan[9].
  • 3D pose estimation in videos using convolutional neural network.'s thesis submitted to is recorded as University of Canterbury[10].
  • 3D pose estimation in videos using convolutional neural network.'s on focus list of Wikimedia project is recorded as NZThesisProject[11].
  • 3D pose estimation in videos using convolutional neural network.'s copyright status is recorded as copyrighted[12].
  • 3D pose estimation in videos using convolutional neural network.'s online access status is recorded as open access[13].
  • 3D pose estimation in videos using convolutional neural network.'s thesis committee member is recorded as Ramakrishnan Mukundan[14].
  • 3D pose estimation in videos using convolutional neural network.'s thesis submitted for degree is recorded as Doctor of Philosophy[15].

Body

Designation and Status

3D pose estimation in videos using convolutional neural network.'s instance of is recorded as doctoral thesis[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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BibTeX @misc{4ortxyz_3d-pose-estimation-in-videos-using-convolutional-neural-network-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D pose estimation in videos using convolutional neural network.}}, year = {2026}, url = {https://4ort.xyz/entity/3d-pose-estimation-in-videos-using-convolutional-neural-network-}, note = {Accessed: 2026-05-03}}
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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 29d ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Thesis submitted for degree → Doctor of Philosophy
    Author name string → Huyuan Shangguan
    Thesis submitted to → University of Canterbury
    Handle id → 10092/17304
    + 14 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52330|batch #52330]]: Canterbury"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.