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DC Field | Value | Language |
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dc.contributor.author | Chen, J | - |
dc.contributor.author | Jin, Z | - |
dc.contributor.author | Wang, Q | - |
dc.contributor.author | Meng, H | - |
dc.date.accessioned | 2023-11-05T16:18:59Z | - |
dc.date.available | 2023-11-05T16:18:59Z | - |
dc.date.issued | 2023-11-02 | - |
dc.identifier | ORCID iD: Jinghong Chen https://orcid.org/0000-0001-8650-790X | - |
dc.identifier | ORCID iD: Qicong Wang https://orcid.org/0000-0001-7324-0433 | - |
dc.identifier | ORCID iD: Hongying Meng https://orcid.org/0000-0002-8836-1382 | - |
dc.identifier.citation | Chen, J. et al. (2023) 'Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding', IEEE Transactions on Image Processing, 0 (early access), pp. 1 - 15. doi: 10.1109/tip.2023.3328230. | en_US |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27535 | - |
dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61671397); 10.13039/501100003392-Natural Science Foundation of Fujian Province (Grant Number: 2022J011275 and 2023J01003); Shenzhen Science and Technology Program (Grant Number: JCYJ20200109143035495). | en_US |
dc.format.extent | 1 - 15 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.rights.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.subject | spatio-temporal interaction | en_US |
dc.subject | contrastive learning | en_US |
dc.subject | Poincaré model | en_US |
dc.subject | hyperbolic space | en_US |
dc.subject | homotopic mapping | en_US |
dc.title | Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/tip.2023.3328230 | - |
dc.relation.isPartOf | IEEE Transactions on Image Processing | - |
pubs.publication-status | Published | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 1941-0042 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | 2.5 MB | Adobe PDF | View/Open |
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