Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

Zadeh, Amir, Zellers, Rowan, Pincus, Eli, Morency, Louis-Philippe·2016·IEEE Intelligent Systems

Cited by (852)

Items 401–500 of 852

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  18. AtM-DNN: A Multimodal Attention Fusion Network with Auxiliary Function for Sentiment Classification
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  19. A Personalized Affective Memory Neural Model for Improving Emotion Recognition
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  20. ROSA: A Robust Self-Adaptive Model for Multimodal Emotion Recognition With Uncertain Missing Modalities
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  22. Language-dominated fusion and self-distillation for multimodal sentiment analysis with incomplete modalities
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  23. Unlocking explainable and effective multimodal affective reasoning via large language models
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  25. Learning Modality-Complementary and Eliminating-Redundancy Representations with Multi-Task Learning for Multimodal Sentiment Analysis
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  26. Multi-HM: A Chinese Multimodal Dataset and Fusion Framework for Emotion Recognition in Human–Machine Dialogue Systems
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  27. Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning
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  28. Bimodal Sentiment Analysis Based on a Pre-Trained Model and Masked Attention Fusion
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  29. A Multimodal Sentiment Analysis Approach Based on Multiview Cross-Modal Fusion
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  30. $$A^{2} H^{2}$$ for multimodal emotional data analysis
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  31. SG-DTAM: Joint staged generation and dynamic time alignment for missing and unaligned modalities in sentiment analysis
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  33. Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis
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  36. DRSS: a multimodal sentiment analysis approach based on dual representation and self-supervised learning strategy
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  39. Gated Fusion Network With Progressive Modality Enhancement for Sentiment Analysis
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  46. An Improved Model of Multi-attention LSTM for Multimodal Sentiment Analysis
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  47. Hybrid grass bee optimization ‐ multikernal extreme learning classifier: Multimodular fusion strategy and optimal feature selection for multimodal sentiment analysis in social media videos
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  51. Hierarchical Text-Guided Refinement Network for Multimodal Sentiment Analysis
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  53. Multi-modal sentiment analysis based on multi-level modal information interaction
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  56. DRLCCI: A hybrid fusion network leveraging disentangled representation learning and cross-modal collaborative interaction for multi-modal sentiment analysis
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  57. Text-Guided Enhanced Transformer Fusion for Multimodal Sentiment Analysis
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  61. CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations
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  63. MATF: main-auxiliary transformer fusion for multi-modal sentiment analysis
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  72. Unimodal Sentiment Analysis
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