Publication:

Embodied Object Representation Learning and Recognition

 
dc.contributor.authorVan de Maele, Toon
dc.contributor.authorVerbelen, Tim
dc.contributor.authorCatal, Ozan
dc.contributor.authorDhoedt, Bart
dc.contributor.imecauthorVan de Maele, Toon
dc.contributor.imecauthorVerbelen, Tim
dc.contributor.imecauthorCatal, Ozan
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidextvan de Maele, Toon::0000-0001-7583-3291
dc.contributor.orcidextVerbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimecVan de Maele, Toon::0000-0001-7583-3291
dc.contributor.orcidimecVerbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.accessioned2022-09-29T15:09:15Z
dc.date.available2022-09-07T08:24:26Z
dc.date.available2022-09-29T15:09:15Z
dc.date.issued2022
dc.description.wosFundingTextFunding This research received funding from the Flemish Government (AI Research Program). OC was funded by a Ph.D. grant of the Flanders Research Foundation (FWO). Part of this work has been supported by Flanders Innovation & Entrepreneurship, by way of Grant Agreement HBC.2020.2347.
dc.identifier.doi10.3389/fnbot.2022.840658
dc.identifier.issn1662-5218
dc.identifier.pmidMEDLINE:35496899
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40362
dc.publisherFRONTIERS MEDIA SA
dc.source.beginpageArt. 840658
dc.source.endpagena
dc.source.issuena
dc.source.journalFRONTIERS IN NEUROROBOTICS
dc.source.numberofpages19
dc.source.volume16
dc.subject.keywordsSHAPE
dc.subject.keywordsVIEW
dc.title

Embodied Object Representation Learning and Recognition

dc.typeJournal article
dspace.entity.typePublication
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