Matches in SemOpenAlex for { <https://semopenalex.org/work/W2072368760> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2072368760 endingPage "141" @default.
- W2072368760 startingPage "130" @default.
- W2072368760 abstract "Face super-resolution refers to inferring the high-resolution face image from its low-resolution one. In this paper, we propose a parts-based face hallucination framework which consists of global face reconstruction and residue compensation. In the first phase, correlation-constrained non-negative matrix factorization (CCNMF) algorithm combines non-negative matrix factorization and canonical correlation analysis to hallucinate the global high-resolution face. In the second phase, the High-dimensional Coupled NMF (HCNMF) algorithm is used to compensate the error residue in hallucinated images. The proposed CCNMF algorithm can generate global face more similar to the ground truth face by learning a parts-based local representation of facial images; while the HCNMF can learn the relation between high-resolution residue and low-resolution residue to better preserve high frequency details. The experimental results validate the effectiveness of our method." @default.
- W2072368760 created "2016-06-24" @default.
- W2072368760 creator A5024989917 @default.
- W2072368760 creator A5037263298 @default.
- W2072368760 creator A5046975280 @default.
- W2072368760 date "2014-11-01" @default.
- W2072368760 modified "2023-09-27" @default.
- W2072368760 title "Parts-based face super-resolution via non-negative matrix factorization" @default.
- W2072368760 cites W1902027874 @default.
- W2072368760 cites W1973207880 @default.
- W2072368760 cites W2015497428 @default.
- W2072368760 cites W2025341678 @default.
- W2072368760 cites W2067625321 @default.
- W2072368760 cites W2099470017 @default.
- W2072368760 cites W2112794790 @default.
- W2072368760 cites W2121058967 @default.
- W2072368760 cites W2141631520 @default.
- W2072368760 cites W2144719328 @default.
- W2072368760 cites W2154199925 @default.
- W2072368760 cites W2160144202 @default.
- W2072368760 cites W2165939075 @default.
- W2072368760 cites W2171107009 @default.
- W2072368760 cites W3104720471 @default.
- W2072368760 doi "https://doi.org/10.1016/j.compeleceng.2014.04.016" @default.
- W2072368760 hasPublicationYear "2014" @default.
- W2072368760 type Work @default.
- W2072368760 sameAs 2072368760 @default.
- W2072368760 citedByCount "7" @default.
- W2072368760 countsByYear W20723687602015 @default.
- W2072368760 countsByYear W20723687602017 @default.
- W2072368760 countsByYear W20723687602019 @default.
- W2072368760 countsByYear W20723687602020 @default.
- W2072368760 countsByYear W20723687602023 @default.
- W2072368760 crossrefType "journal-article" @default.
- W2072368760 hasAuthorship W2072368760A5024989917 @default.
- W2072368760 hasAuthorship W2072368760A5037263298 @default.
- W2072368760 hasAuthorship W2072368760A5046975280 @default.
- W2072368760 hasConcept C11413529 @default.
- W2072368760 hasConcept C121332964 @default.
- W2072368760 hasConcept C144024400 @default.
- W2072368760 hasConcept C152671427 @default.
- W2072368760 hasConcept C153180895 @default.
- W2072368760 hasConcept C154945302 @default.
- W2072368760 hasConcept C158693339 @default.
- W2072368760 hasConcept C187834632 @default.
- W2072368760 hasConcept C2779304628 @default.
- W2072368760 hasConcept C2911011789 @default.
- W2072368760 hasConcept C31510193 @default.
- W2072368760 hasConcept C31972630 @default.
- W2072368760 hasConcept C33923547 @default.
- W2072368760 hasConcept C36289849 @default.
- W2072368760 hasConcept C41008148 @default.
- W2072368760 hasConcept C42355184 @default.
- W2072368760 hasConcept C4641261 @default.
- W2072368760 hasConcept C54654163 @default.
- W2072368760 hasConcept C62520636 @default.
- W2072368760 hasConceptScore W2072368760C11413529 @default.
- W2072368760 hasConceptScore W2072368760C121332964 @default.
- W2072368760 hasConceptScore W2072368760C144024400 @default.
- W2072368760 hasConceptScore W2072368760C152671427 @default.
- W2072368760 hasConceptScore W2072368760C153180895 @default.
- W2072368760 hasConceptScore W2072368760C154945302 @default.
- W2072368760 hasConceptScore W2072368760C158693339 @default.
- W2072368760 hasConceptScore W2072368760C187834632 @default.
- W2072368760 hasConceptScore W2072368760C2779304628 @default.
- W2072368760 hasConceptScore W2072368760C2911011789 @default.
- W2072368760 hasConceptScore W2072368760C31510193 @default.
- W2072368760 hasConceptScore W2072368760C31972630 @default.
- W2072368760 hasConceptScore W2072368760C33923547 @default.
- W2072368760 hasConceptScore W2072368760C36289849 @default.
- W2072368760 hasConceptScore W2072368760C41008148 @default.
- W2072368760 hasConceptScore W2072368760C42355184 @default.
- W2072368760 hasConceptScore W2072368760C4641261 @default.
- W2072368760 hasConceptScore W2072368760C54654163 @default.
- W2072368760 hasConceptScore W2072368760C62520636 @default.
- W2072368760 hasFunder F4320321001 @default.
- W2072368760 hasFunder F4320325431 @default.
- W2072368760 hasIssue "8" @default.
- W2072368760 hasLocation W20723687601 @default.
- W2072368760 hasOpenAccess W2072368760 @default.
- W2072368760 hasPrimaryLocation W20723687601 @default.
- W2072368760 hasRelatedWork W1984743125 @default.
- W2072368760 hasRelatedWork W1989039360 @default.
- W2072368760 hasRelatedWork W2003685048 @default.
- W2072368760 hasRelatedWork W2012637221 @default.
- W2072368760 hasRelatedWork W2017517155 @default.
- W2072368760 hasRelatedWork W2022996756 @default.
- W2072368760 hasRelatedWork W2353818130 @default.
- W2072368760 hasRelatedWork W2402646854 @default.
- W2072368760 hasRelatedWork W2607108626 @default.
- W2072368760 hasRelatedWork W2164844972 @default.
- W2072368760 hasVolume "40" @default.
- W2072368760 isParatext "false" @default.
- W2072368760 isRetracted "false" @default.
- W2072368760 magId "2072368760" @default.
- W2072368760 workType "article" @default.