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

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Items 701–800 of 852

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6. Text-Centric Sparse Interaction Fusion Network With a Modality Calibrating Module for Multimodal Sentiment Analysis
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7. Multimodal Sentiment Analysis Based on Incomplete Data
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8. Multi-Scale Fusion with Explicit Word-Level Alignment for Multimodal Sentiment Analysis
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9. Multimodal Sentiment Analysis Based on Uncertain Missing Patterns
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10. Disentangled representation learning with temporal smoothness constraints for multimodal sentiment analysis
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11. SADGR: Adaptive Cross-Modal Emotion Recognition via Self-Supervised Alignment and Dynamic Gating
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13. DRFusion: Enhancing balanced and sufficient multimodal learning for human emotion recognition
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15. RMSAGF: A synergistic generation and fusion framework for robust multimodal sentiment analysis
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16. Blue Eyes Technology: Bridging the Gap Between Human Emotion and Computational Intelligence
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17. Decoupled hypergraph modeling for multimodal sentiment analysis
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18. DGGD: A Unified and Discriminative Representation Learning Method for Multimodal Sentiment Analysis
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19. A Multimodal Semantic Adversarial Alignment Approach for Sentiment Analysis
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20. Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities
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21. Exploiting Body Gesture and Automated Speech Recognition for Multimodal Sentiment Analysis
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23. LGCDF: Label-Guided Contrastive Disentanglement Fusion of Sensitive Attribute-Free Representations for Fair Multimodal Sentiment Analysis
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24. Multimodal Emotion Recognition Using Acoustic Features and Deep Language Models
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25. LGBE-MSA: Language-Guided Bidirectional Encoder for Multimodal Sentiment Analysis
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26. CADA: A Confidence-Aware Dual-Aspect Fusion Network for Multimodal Sentiment Analysis
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27. OPAL-T: Order-Insensitive Prototype-Aware Low-Rank Trimodal Fusion for Multimodal Sentiment Analysis
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28. Prédiction de modèles structurés d'opinion : aspects théoriques et méthodologiques
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29. Social Emotion Recognition with multimodal deep learning architecture in emergency call centers
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30. HCT-DMR: Hierarchical cross-modal transformer with differentiated modality reconstruction for robust multimodal sentiment analysis
    Chang Qi, Bin Gao, Yanping Chen, Qian Fu, Yutong Li, Shutian Liu, Zhengjun Liu · 2026 · SSRN Electronic Journal
31. Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
    Yuhao Sun, Peng Zhang, Wei Zhao, Fuqiang Wang, Xiangzhi Liu, Xiaoming Wu · 2026 · Lecture notes in computer science
32. BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
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33. Prompt-Guided Mixture-of-Experts for Robust Multimodal Sentiment Analysis with Missing Modalities
    Ziqi Shu, Rongzhou Zhou, Xiaodong Wang, Qingfeng Wu, Lu Cao · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
34. Selective Hub Fusion with Modality-Heterogeneous Experts for Multimodal Emotion Recognition
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35. Dual-Branch Spiral Intersect Network for Multimodal Sentiment Analysis
    Hongfei Gao, Xinhua Zhu, Kunhao Ma · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
36. Staged Diffusion with Hybrid Mixture-of-Experts (MOE) for Multimodal Sentiment Analysis
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37. DSSR: Decoupling Salient and Subtle Representations Under Missing Modalities for Multimodal Emotion Recognition
    Huan Zhao, Zhijie Yu, Yong Wei, Bo Li, Yingxue Gao · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
38. LETPAV: Lexicon-Enhanced Text with Progressive Audio-Visual Fusion for Multimodal Sentiment Analysis
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39. A-MSA: Adversarial Feature Disentanglement for Multimodal Sentiment Analysis
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40. Dual-Perspective Multimodal Sentiment Analysis with MoE Fusion: Representation Learning via Semantic Resonance and Divergence
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41. Dynamic Balanced Cross-Modal Attention with Gated Sequence Restoration: Towards Robust Multimodal Sentiment Analysis
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42. DGSDNet: Dual-Graph Spectral Diffusion Network for Incomplete Multimodal Emotion Recognition in Conversations
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43. GRNet: Graph Reconstruction Network for Robust Multimodal Sentiment Analysis
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44. Transformer-enhanced multimodal learning model for multimedia content understanding
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45. Token-level refined region-based framework for multimodal sentiment analysis
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46. An Ordinal Learning Framework With Sentiment Decouple for Multimodal Sentiment Analysis
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47. Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning
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48. DHFN: a disentangled hierarchical fusion network for multimodal sentiment analysis
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49. Register-augmented attention and self-calibrated fusion for robust multimodal sentiment analysis
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50. Enhancing emotion recognition through three modalities fusion and contrastive learning with the Mamba architecture
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51. DiffuCL: Diffusion-based Reconstruction with Contrastive Learning for Incomplete Multimodal Sentiment Analysis
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52. FG-T-FBP: fine-grained temporal factorized bilinear pooling fusion using graph attention mechanism for cross-modal emotion recognition
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53. Hierarchical Structure Consistency Learning for Multimodal Emotion Recognition
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54. Emotion-Aware Academic Assistance through a Modular Training-Free Architecture for Graduate Supervision
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56. Multimodal Sentiment Analysis via Dynamic Mixture of Modal Experts and Cross-modal Gated Fusion
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57. HGSA: Heterogeneity-Guided Sarcasm Adaptation for Video Sentiment Analysis via Polarity Disentanglement
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58. TeFN: Text‐Centered Fusion Network With Multilevel Attention for Multimodal Sentiment Analysis
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59. Fine-grained multimodal anomaly detection via dual-stream representations and tri-evidence adaptive fusion
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60. CRNet: Context-Guided Recovering Network for Incomplete Multimodal Emotion Recognition in Conversation
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