Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964751875> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2964751875 abstract "Affective computing has attracted researchers' attention in recent years. Emotion recognition is part of affective computing, which aims to recognize how the person feels, such as happy, sad, anger, disgust, fear, surprise. Traditional works about emotion recognition mainly focus on the characteristic of the person itself, such as audio, text, facial expression, body posture. However, the feelings of people can easily be affected by the context information. In this paper, we utilize the context to construct an affective graph to reason the emotional states. In detail, we detect the context using Region Proposal Network (RPN) to extract nodes as the input of the Graph Convolution Network (GCN), which transfers the convolution operation from Euclidean data structure to nonEuclidean data structure. The GCN learns the affective relationship during the back-propagation process. Moreover, the body feature is extracted by Convolution Neural Network (CNN). The output of GCN and CNN are combined finally to infer the discrete emotion categories and the continuous dimensions for VAD (Valence, Arouse, Dominance) measurement. Our method achieves higher performance than the baseline based on the EXOTIC dataset." @default.
- W2964751875 created "2019-08-13" @default.
- W2964751875 creator A5054452935 @default.
- W2964751875 creator A5063982212 @default.
- W2964751875 creator A5067306406 @default.
- W2964751875 date "2019-07-01" @default.
- W2964751875 modified "2023-10-09" @default.
- W2964751875 title "Context-Aware Affective Graph Reasoning for Emotion Recognition" @default.
- W2964751875 cites W1133916940 @default.
- W2964751875 cites W2022204871 @default.
- W2964751875 cites W2088622183 @default.
- W2964751875 cites W2114524997 @default.
- W2964751875 cites W2128042196 @default.
- W2964751875 cites W2278113816 @default.
- W2964751875 cites W2296734373 @default.
- W2964751875 cites W2739474071 @default.
- W2964751875 cites W2806331055 @default.
- W2964751875 cites W2897067191 @default.
- W2964751875 doi "https://doi.org/10.1109/icme.2019.00034" @default.
- W2964751875 hasPublicationYear "2019" @default.
- W2964751875 type Work @default.
- W2964751875 sameAs 2964751875 @default.
- W2964751875 citedByCount "36" @default.
- W2964751875 countsByYear W29647518752020 @default.
- W2964751875 countsByYear W29647518752021 @default.
- W2964751875 countsByYear W29647518752022 @default.
- W2964751875 countsByYear W29647518752023 @default.
- W2964751875 crossrefType "proceedings-article" @default.
- W2964751875 hasAuthorship W2964751875A5054452935 @default.
- W2964751875 hasAuthorship W2964751875A5063982212 @default.
- W2964751875 hasAuthorship W2964751875A5067306406 @default.
- W2964751875 hasConcept C121332964 @default.
- W2964751875 hasConcept C132525143 @default.
- W2964751875 hasConcept C153180895 @default.
- W2964751875 hasConcept C154945302 @default.
- W2964751875 hasConcept C15744967 @default.
- W2964751875 hasConcept C168900304 @default.
- W2964751875 hasConcept C180747234 @default.
- W2964751875 hasConcept C195704467 @default.
- W2964751875 hasConcept C206310091 @default.
- W2964751875 hasConcept C2777375102 @default.
- W2964751875 hasConcept C2779302386 @default.
- W2964751875 hasConcept C2780343955 @default.
- W2964751875 hasConcept C41008148 @default.
- W2964751875 hasConcept C62520636 @default.
- W2964751875 hasConcept C6438553 @default.
- W2964751875 hasConcept C77805123 @default.
- W2964751875 hasConcept C80444323 @default.
- W2964751875 hasConcept C81363708 @default.
- W2964751875 hasConceptScore W2964751875C121332964 @default.
- W2964751875 hasConceptScore W2964751875C132525143 @default.
- W2964751875 hasConceptScore W2964751875C153180895 @default.
- W2964751875 hasConceptScore W2964751875C154945302 @default.
- W2964751875 hasConceptScore W2964751875C15744967 @default.
- W2964751875 hasConceptScore W2964751875C168900304 @default.
- W2964751875 hasConceptScore W2964751875C180747234 @default.
- W2964751875 hasConceptScore W2964751875C195704467 @default.
- W2964751875 hasConceptScore W2964751875C206310091 @default.
- W2964751875 hasConceptScore W2964751875C2777375102 @default.
- W2964751875 hasConceptScore W2964751875C2779302386 @default.
- W2964751875 hasConceptScore W2964751875C2780343955 @default.
- W2964751875 hasConceptScore W2964751875C41008148 @default.
- W2964751875 hasConceptScore W2964751875C62520636 @default.
- W2964751875 hasConceptScore W2964751875C6438553 @default.
- W2964751875 hasConceptScore W2964751875C77805123 @default.
- W2964751875 hasConceptScore W2964751875C80444323 @default.
- W2964751875 hasConceptScore W2964751875C81363708 @default.
- W2964751875 hasLocation W29647518751 @default.
- W2964751875 hasOpenAccess W2964751875 @default.
- W2964751875 hasPrimaryLocation W29647518751 @default.
- W2964751875 hasRelatedWork W1980331490 @default.
- W2964751875 hasRelatedWork W2028755160 @default.
- W2964751875 hasRelatedWork W2119598471 @default.
- W2964751875 hasRelatedWork W2514450782 @default.
- W2964751875 hasRelatedWork W2947045439 @default.
- W2964751875 hasRelatedWork W3167551411 @default.
- W2964751875 hasRelatedWork W336991290 @default.
- W2964751875 hasRelatedWork W4294643408 @default.
- W2964751875 hasRelatedWork W4384447315 @default.
- W2964751875 hasRelatedWork W1883936045 @default.
- W2964751875 isParatext "false" @default.
- W2964751875 isRetracted "false" @default.
- W2964751875 magId "2964751875" @default.
- W2964751875 workType "article" @default.