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dc.contributor.authorGruber, Ivan
dc.date.accessioned2022-02-28T11:00:22Z-
dc.date.available2022-02-28T11:00:22Z-
dc.date.issued2021
dc.identifier.citationGRUBER, I. Heterogeneous Face Recognition from Facial Sketches. Informatica, 2021, roč. 45, č. 3, s. 487-488. ISSN: 0350-5596cs
dc.identifier.issn0350-5596
dc.identifier.uri2-s2.0-85119414749
dc.identifier.urihttp://hdl.handle.net/11025/47014
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSlovene Society Informatikaen
dc.relation.ispartofseriesInformaticaen
dc.rights© Slovene Society Informatikaen
dc.subjectheterogenní rozpoznávání lidské tvářecs
dc.subjectgenerativní adversarialní sítěcs
dc.titleHeterogeneous Face Recognition from Facial Sketchesen
dc.title.alternativeHeterogenní rozpoznávání lidské tváře ze skiccs
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper presents a short summary of a dissertation thesis. The thesis presents a novel approach named X-Bridge for image-to-sketch translation for automatic heterogeneous face recognition. X-Bridge is based on a conditional adversarial network with an additional reconstruction path and a shared-latent space assumption between the original and the reconstruction path. With these modications, the results provided by X-Bridge overcome other state-of-the-art methods.en
dc.subject.translatedheterogeneous face recognitionen
dc.subject.translatedgenerative adversarial networksen
dc.identifier.doi10.31449/inf.v45i3.3313
dc.type.statusPeer-revieweden
dc.identifier.obd43933807
dc.project.IDLTARF18017/AMIR - Multimodální rozhraní založené na gestech a mluvené i znakové řeči pro ovládání asistivního mobilního informačního robotacs
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