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DC Field | Value | Language |
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dc.contributor.author | Sun, J | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Yu, H | - |
dc.contributor.author | Zhang, S | - |
dc.contributor.author | Dong, J | - |
dc.contributor.author | Gao, P | - |
dc.date.accessioned | 2023-03-01T21:05:24Z | - |
dc.date.available | 2023-03-01T21:05:24Z | - |
dc.date.issued | 2020-10-28 | - |
dc.identifier.citation | Sun, J. et al. (2022) 'Two-Stage Deep Regression Enhanced Depth Estimation From a Single RGB Image', IEEE Transactions on Emerging Topics in Computing, 10 (2), pp. 719 - 727. doi: 10.1109/TETC.2020.3034559. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/26030 | - |
dc.description.sponsorship | This work was supposed by the EPSRC through project 4D Facial Sensing and Modeling (EP/N025849/1), the National Natural Science Foundation of China (NSFC)(No. 61271405, No. 41906177, No. U1706218, No. 41927805), the Fundamental Research Funds for the Central Universities 201964022 and the National Key R&D Program of China (Grant No. 2018AAA0100602), the Shandong Provincial Natural Science Foundation, china (No. ZR2018ZB0852), Marine Data Science strategic project (No. L1824025) and the International Science and Technology Cooperation Program of China (ISTCP) (No. 2104DFA10410). | en_US |
dc.format.extent | 719 - 727 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2020 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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.subject | depth prediction | en_US |
dc.subject | a single RGB image | en_US |
dc.subject | the rough depth map | en_US |
dc.subject | neural networks | en_US |
dc.title | Two-Stage Deep Regression Enhanced Depth Estimation From a Single RGB Image | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TETC.2020.3034559 | - |
dc.relation.isPartOf | IEEE Transactions on Emerging Topics in Computing | - |
pubs.issue | 2 | - |
pubs.publication-status | Published | - |
pubs.volume | 10 | - |
dc.identifier.eissn | 2168-6750 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2020 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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | 1.15 MB | Adobe PDF | View/Open |
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