Learnable Motion Coherence for Correspondence Pruning

Liu, Yuan; Liu, Lingjie; Lin, Cheng; Dong, Zhen; Wang, Wenping

doi:10.1109/CVPR46437.2021.00325

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Learnable Motion Coherence for Correspondence Pruning

Liu, Y., Liu, L., Lin, C., Dong, Z., & Wang, W. (2021). Learnable Motion Coherence for Correspondence Pruning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3236-3245). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.00325.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-FB5B-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-FB5C-6

Genre: Conference Paper

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Creators:
Liu, Yuan¹, Author
Liu, Lingjie², Author
Lin, Cheng¹, Author
Dong, Zhen¹, Author
Wang, Wenping¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330

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Language(s): eng - English

Dates: Accepted: 2021Published Online: 2021

Publication Status: Published online

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Identifiers: BibTex Citekey: Liu_CVPR21
DOI: 10.1109/CVPR46437.2021.00325

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Title: 34th IEEE Conference on Computer Vision and Pattern Recognition

Place of Event: Nashville, TN, US (Virtual)

Start-/End Date: 2021-06-19 - 2021-06-25

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Abbreviation : CVPR 2021

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3236 - 3245 Identifier: ISBN: 978-1-6654-4509-2