Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

25 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pages	1-15
Publication status	Published - Jun 2021

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publisher	IEEE Computer Society
ISSN (Print)	1063-6919

More information

Jiapeng Tang, Dan Xu, & Kui Jia (2021). Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1-15). (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). http://hdl.handle.net/10397/105458

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title = "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction",

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year = "2021",

month = jun,

language = "English",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

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Jiapeng Tang, Dan Xu & Kui Jia 2021, Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-15. <http://hdl.handle.net/10397/105458>

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. / Jiapeng Tang; Dan Xu; Kui Jia.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2021. p. 1-15 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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PY - 2021/6

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M3 - Conference article published in proceeding or book

T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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BT - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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