Matches in SemOpenAlex for { <https://semopenalex.org/work/W3016683136> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W3016683136 abstract "Micro-Expression (ME) is the spontaneous, involuntary movement of a face that can reveal the true feeling. Recently, increasing researches have paid attention to this field combing deep learning techniques. Action units (AUs) are the fundamental actions reflecting the facial muscle movements and AU detection has been adopted by many researches to classify facial expressions. However, the time-consuming annotation process makes it difficult to correlate the combinations of AUs to specific emotion classes. Inspired by the nodes relationship building Graph Convolutional Networks (GCN), we propose an end-to-end AU-oriented graph classification network, namely MER-GCN, which uses 3D ConvNets to extract AU features and applies GCN layers to discover the dependency laying between AU nodes for ME categorization. To our best knowledge, this work is the first end-to-end architecture for Micro-Expression Recognition (MER) using AUs based GCN. The experimental results show that our approach outperforms CNN-based MER networks." @default.
- W3016683136 created "2020-04-24" @default.
- W3016683136 creator A5000780442 @default.
- W3016683136 creator A5013026466 @default.
- W3016683136 creator A5040050806 @default.
- W3016683136 creator A5042705745 @default.
- W3016683136 date "2020-04-19" @default.
- W3016683136 modified "2023-10-03" @default.
- W3016683136 title "MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network" @default.
- W3016683136 cites W1522734439 @default.
- W3016683136 cites W1595126664 @default.
- W3016683136 cites W1940404584 @default.
- W3016683136 cites W2000820603 @default.
- W3016683136 cites W2006426145 @default.
- W3016683136 cites W2059068649 @default.
- W3016683136 cites W2128730107 @default.
- W3016683136 cites W2138648333 @default.
- W3016683136 cites W2139916508 @default.
- W3016683136 cites W2198512331 @default.
- W3016683136 cites W2478411578 @default.
- W3016683136 cites W2519887557 @default.
- W3016683136 cites W2548529926 @default.
- W3016683136 cites W2564173477 @default.
- W3016683136 cites W2726381870 @default.
- W3016683136 cites W2740509411 @default.
- W3016683136 cites W2747479026 @default.
- W3016683136 cites W2808064875 @default.
- W3016683136 cites W2925876297 @default.
- W3016683136 cites W2932399282 @default.
- W3016683136 cites W2961193895 @default.
- W3016683136 cites W2962802777 @default.
- W3016683136 cites W2963155035 @default.
- W3016683136 cites W2963377935 @default.
- W3016683136 cites W2982033433 @default.
- W3016683136 cites W3099904761 @default.
- W3016683136 doi "https://doi.org/10.48550/arxiv.2004.08915" @default.
- W3016683136 hasPublicationYear "2020" @default.
- W3016683136 type Work @default.
- W3016683136 sameAs 3016683136 @default.
- W3016683136 citedByCount "3" @default.
- W3016683136 countsByYear W30166831362020 @default.
- W3016683136 countsByYear W30166831362021 @default.
- W3016683136 crossrefType "posted-content" @default.
- W3016683136 hasAuthorship W3016683136A5000780442 @default.
- W3016683136 hasAuthorship W3016683136A5013026466 @default.
- W3016683136 hasAuthorship W3016683136A5040050806 @default.
- W3016683136 hasAuthorship W3016683136A5042705745 @default.
- W3016683136 hasBestOaLocation W30166831361 @default.
- W3016683136 hasConcept C119857082 @default.
- W3016683136 hasConcept C132525143 @default.
- W3016683136 hasConcept C153180895 @default.
- W3016683136 hasConcept C154945302 @default.
- W3016683136 hasConcept C2777212361 @default.
- W3016683136 hasConcept C2987834672 @default.
- W3016683136 hasConcept C41008148 @default.
- W3016683136 hasConcept C80444323 @default.
- W3016683136 hasConcept C81363708 @default.
- W3016683136 hasConcept C94124525 @default.
- W3016683136 hasConceptScore W3016683136C119857082 @default.
- W3016683136 hasConceptScore W3016683136C132525143 @default.
- W3016683136 hasConceptScore W3016683136C153180895 @default.
- W3016683136 hasConceptScore W3016683136C154945302 @default.
- W3016683136 hasConceptScore W3016683136C2777212361 @default.
- W3016683136 hasConceptScore W3016683136C2987834672 @default.
- W3016683136 hasConceptScore W3016683136C41008148 @default.
- W3016683136 hasConceptScore W3016683136C80444323 @default.
- W3016683136 hasConceptScore W3016683136C81363708 @default.
- W3016683136 hasConceptScore W3016683136C94124525 @default.
- W3016683136 hasLocation W30166831361 @default.
- W3016683136 hasOpenAccess W3016683136 @default.
- W3016683136 hasPrimaryLocation W30166831361 @default.
- W3016683136 hasRelatedWork W2175746458 @default.
- W3016683136 hasRelatedWork W2732542196 @default.
- W3016683136 hasRelatedWork W2738221750 @default.
- W3016683136 hasRelatedWork W2760085659 @default.
- W3016683136 hasRelatedWork W2767651786 @default.
- W3016683136 hasRelatedWork W2883200793 @default.
- W3016683136 hasRelatedWork W3027997911 @default.
- W3016683136 hasRelatedWork W3093612317 @default.
- W3016683136 hasRelatedWork W4287776258 @default.
- W3016683136 hasRelatedWork W4312501200 @default.
- W3016683136 isParatext "false" @default.
- W3016683136 isRetracted "false" @default.
- W3016683136 magId "3016683136" @default.
- W3016683136 workType "article" @default.