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http://bura.brunel.ac.uk/handle/2438/24566Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, J | - |
| dc.contributor.author | Zhao, C | - |
| dc.contributor.author | Wang, Q | - |
| dc.contributor.author | Meng, H | - |
| dc.date.accessioned | 2022-05-13T12:38:49Z | - |
| dc.date.available | 2022-05-13T12:38:49Z | - |
| dc.date.issued | 2022-05-02 | - |
| dc.identifier.citation | Chen, J., Zhao, C., Wang, Q. and Meng, H. (2022) 'HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition', IEEE Transactions on Cognitive and Developmental Systems, 0 (in press), pp. 1 - 13. doi: 10.1109/tcds.2022.3171550. | en_US |
| dc.identifier.issn | 2379-8920 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24566 | - |
| dc.description.sponsorship | the Shenzhen Science and Technology Program (Grant Number: JCYJ20200109143035495). | en_US |
| dc.format.extent | 1 - 13 (13) | - |
| 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 © 2022 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. | - |
| dc.subject | action recognition | en_US |
| dc.subject | hyperbolic manifold | en_US |
| dc.subject | Poincaré model | en_US |
| dc.subject | Riemannian geometry | en_US |
| dc.subject | spatio-temporal features | en_US |
| dc.title | HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/tcds.2022.3171550 | - |
| dc.relation.isPartOf | IEEE Transactions on Cognitive and Developmental Systems | - |
| pubs.publication-status | Published | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 2379-8939 | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 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. | 19.19 MB | Adobe PDF | View/Open |
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