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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27535
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dc.contributor.authorChen, J-
dc.contributor.authorJin, Z-
dc.contributor.authorWang, Q-
dc.contributor.authorMeng, H-
dc.date.accessioned2023-11-05T16:18:59Z-
dc.date.available2023-11-05T16:18:59Z-
dc.date.issued2023-11-02-
dc.identifierORCID iD: Jinghong Chen https://orcid.org/0000-0001-8650-790X-
dc.identifierORCID iD: Qicong Wang https://orcid.org/0000-0001-7324-0433-
dc.identifierORCID iD: Hongying Meng https://orcid.org/0000-0002-8836-1382-
dc.identifier.citationChen, 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.issn1057-7149-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27535-
dc.description.sponsorship10.13039/501100001809-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.extent1 - 15-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 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.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.subjectspatio-temporal interactionen_US
dc.subjectcontrastive learningen_US
dc.subjectPoincaré modelen_US
dc.subjecthyperbolic spaceen_US
dc.subjecthomotopic mappingen_US
dc.titleSelf-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embeddingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tip.2023.3328230-
dc.relation.isPartOfIEEE Transactions on Image Processing-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn1941-0042-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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