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Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis
16 references·0 citing·49 second hop
Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis (2022)Video-Based Cross-Modal Auxiliary Network…Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge (2021)Real-Time Video Emotion Recog…Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)Leveraging recent advances in…Emotion classification from speech signal based on empirical mode decomposition and non-linear features (2021)Emotion classification from s…Deep learning-based facial emotion recognition for human–computer interaction applications (2021)Deep learning-based facial em…Affective Image Content Analysis: Two Decades Review and New Perspectives (2021)Affective Image Content Analy…Extended deep neural network for facial emotion recognition (2019)Extended deep neural network …Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO (2019)Automatic speech emotion reco…A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition (2019)A Hybrid Latent Space Data Fu…Video facial emotion recognition based on local enhanced motion history image and CNN-CTSLSTM networks (2018)Video facial emotion recognit…The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)The Ryerson Audio-Visual Data…Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Emotion recognition using dee…Databases, features and classifiers for speech emotion recognition: a review (2018)Databases, features and class…Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Speech emotion recognition ba…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms (2017)Efficient Emotion Recognition…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…The expression of the emotions in man and animals. 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this work references cited by second hop

References

  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2018Emotion recognition using deep learning approach from audio–visual emotional big data454 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2021Deep learning-based facial emotion recognition for human–computer interaction applications417 cited
  • 2019Extended deep neural network for facial emotion recognition401 cited
  • 2018Databases, features and classifiers for speech emotion recognition: a review356 cited
  • 2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition346 cited
  • 2017Speech emotion recognition based on feature selection and extreme learning machine decision tree267 cited
  • 2021Leveraging recent advances in deep learning for audio-Visual emotion recognition238 cited
  • 2021Affective Image Content Analysis: Two Decades Review and New Perspectives199 cited
  • 2021Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge185 cited
  • 2018Video facial emotion recognition based on local enhanced motion history image and CNN-CTSLSTM networks114 cited

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2019
Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO
107 cited
  • 2019A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition98 cited
  • 2021Emotion classification from speech signal based on empirical mode decomposition and non-linear features96 cited
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