Latest Research in Multimedia

21 research papers · 2026 median publication year

Top Research Topics in Multimedia

Highest-Cited Papers

  1. Multimodal Representation Learning for Winter Ice and Snow Wellness Tourism Experience Evaluation under Deep Learning
  2. "You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling
  3. Multimodal Aspect-Level Sentiment Analysis Based on Gated Noise Filtering and Emotion-Relevance Interaction
  4. Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts
  5. Divide and Conquer: Mixture-of-Bottleneck Experts in Informative Ordinal Space for Video-based Multimodal Sentiment Analysis
  6. A Quantum-Inspired Residual Self-Attention Network for Multimodal Sentiment Analysis
  7. Confidence-aware adaptive multimodal fusion for crisis event analysis from social media
  8. Video2Reaction: Training Foundation Video Models to Predict Audience Reaction
  9. The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods
  10. Robust Multimodal Sentiment Analysis with Incomplete Modalities via Semantic-aware Completeness based Reconstruction
  11. A Transformer-Based Approach with Data Augmentation for Multilabel Emotional Context Detection
  12. Fine-Grained Visual Preprocessing and Dual-Stream Temporal Modeling for Multimodal Sentiment Analysis on Social Media
  13. CogSent: Cognition-Driven Multimodal Sentiment Analysis Through Fast–Slow Thinking
  14. Vision-Guided Text Prompt Tuning for Multimodal Sentiment Analysis
  15. Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models
  16. Multimodal Adaptive Expert Selection with Text Routing and Ordinal Prototype Optimization for Sentiment Analysis
  17. Parameter-Efficient Adaptation and Benchmarking of Large Vision-Language Models for Multimodal Aspect-Based Sentiment Analysis
  18. Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse
  19. Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations
  20. Virtual Sensing for Real-time Emotion Monitoring in Interactive Media Systems Using Bullet Screen
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L3 Region - - 2026 Sep Q3

Multimedia

21 papers

Top Topics (9)

Computation and Language6
Multimedia3
Sentiment Analysis and Opinion Mining3
Computer Vision and Pattern Recognition2
Artificial Intelligence2
Emotion and Mood Recognition2
Diverse Aspects of Tourism Research1
Machine Learning in Materials Science1
Public Relations and Crisis Communication1

Top Publications (20)

1.Multimodal Representation Learning for Winter Ice and Snow Wellness Tourism Experience Evaluation under Deep Learning2."You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling3.Multimodal Aspect-Level Sentiment Analysis Based on Gated Noise Filtering and Emotion-Relevance Interaction4.Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts5.Divide and Conquer: Mixture-of-Bottleneck Experts in Informative Ordinal Space for Video-based Multimodal Sentiment Analysis6.A Quantum-Inspired Residual Self-Attention Network for Multimodal Sentiment Analysis7.Confidence-aware adaptive multimodal fusion for crisis event analysis from social media8.Video2Reaction: Training Foundation Video Models to Predict Audience Reaction9.The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods10.Robust Multimodal Sentiment Analysis with Incomplete Modalities via Semantic-aware Completeness based Reconstruction11.A Transformer-Based Approach with Data Augmentation for Multilabel Emotional Context Detection12.Fine-Grained Visual Preprocessing and Dual-Stream Temporal Modeling for Multimodal Sentiment Analysis on Social Media13.CogSent: Cognition-Driven Multimodal Sentiment Analysis Through Fast–Slow Thinking14.Vision-Guided Text Prompt Tuning for Multimodal Sentiment Analysis15.Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models16.Multimodal Adaptive Expert Selection with Text Routing and Ordinal Prototype Optimization for Sentiment Analysis17.Parameter-Efficient Adaptation and Benchmarking of Large Vision-Language Models for Multimodal Aspect-Based Sentiment Analysis18.Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse19.Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations20.Virtual Sensing for Real-time Emotion Monitoring in Interactive Media Systems Using Bullet Screen
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