Publication:

Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding

Date

2021
Journal article
https://doi.org/10.1109/TIP.2021.3069296
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dc.contributor.authorVan Luong, Huynh
dc.contributor.authorJoukovsky, Boris
dc.contributor.authorDeligiannis, Nikolaos
dc.contributor.imecauthorVan Luong, Huynh
dc.contributor.imecauthorJoukovsky, Boris
dc.contributor.imecauthorDeligiannis, Nikolaos
dc.contributor.orcidimecJoukovsky, Boris::0000-0002-2881-2727
dc.contributor.orcidimecDeligiannis, Nikos::0000-0001-9300-5860
dc.contributor.orcidimecDeligiannis, Nikolaos::0000-0001-9300-5860
dc.date.accessioned2022-03-02T15:24:26Z
dc.date.available2022-03-02T15:24:26Z
dc.date.issued2021
dc.identifier.doi10.1109/TIP.2021.3069296
dc.identifier.issn1057-7149
dc.identifier.pmidMEDLINE:33798083
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39252
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage4099
dc.source.endpage4113
dc.source.issuena
dc.source.journalIEEE TRANSACTIONS ON IMAGE PROCESSING
dc.source.numberofpages15
dc.source.volume30
dc.subject.keywordsTHRESHOLDING ALGORITHM
dc.subject.keywordsINVERSE PROBLEMS
dc.subject.keywordsSPARSE
dc.title

Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding

dc.typeJournal article
dspace.entity.typePublication
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