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http://bura.brunel.ac.uk/handle/2438/31289Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yizhou, H | - |
| dc.contributor.author | Yihua, C | - |
| dc.contributor.author | Wang, K | - |
| dc.coverage.spatial | Nashville TN, USA | - |
| dc.date.accessioned | 2025-05-20T16:00:12Z | - |
| dc.date.available | 2025-05-20T16:00:12Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier | ORCiD: Kezhi Wang https://orcid.org/0000-0001-8602-0800 | - |
| dc.identifier.citation | Yizhou, H., Yihua, C. and Wang, K. (2025) 'Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM', 2025 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Nashville TN, USA, 11-15 June, pp. 1 - 10. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31289 | - |
| dc.description.abstract | ... | en_US |
| dc.description.sponsorship | This work is supported in part by the Europe Eureka Intelligence to Drive | Move-Save-Win project (with funding from the UKRI Innovate UK project under Grant No. 10071278) as well as the Horizon Europe COVER project, No. 101086228 (with funding from UKRI grant EP/Y028031/1). Kezhi Wang would like to acknowledge the support in part by the Royal Society Industry Fellow scheme. | en_US |
| dc.format.extent | 1 - 10 | - |
| dc.format.medium | Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) on behalf of the Computer Vision Foundation | en_US |
| dc.relation.uri | https://openaccess.thecvf.com/WACV2025 | - |
| dc.rights | Copyright © 2025 The Authors / Computer Vision Foundation / Institute of Electrical and Electronics Engineers (IEEE). Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. 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 ( 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.source | 2025 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) | - |
| dc.source | 2025 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) | - |
| dc.title | Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM | en_US |
| dc.type | Conference Paper | en_US |
| pubs.finish-date | 2025-06-15 | - |
| pubs.finish-date | 2025-06-15 | - |
| pubs.publication-status | Accepted | - |
| pubs.start-date | 2025-06-11 | - |
| pubs.start-date | 2025-06-11 | - |
| dc.rights.holder | The Authors / Computer Vision Foundation / Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 11 June 2025. Copyright © 2025 The Authors / Computer Vision Foundation / Institute of Electrical and Electronics Engineers (IEEE). Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. 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 ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | 1.51 MB | Adobe PDF | View/Open |
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