Latest Research in Affective Multimodal Recognition

Top Research Topics in Affective Multimodal Recognition

• Emotion and Mood Recognition — 27 papers
• Computation and Language — 21 papers
• Computer Vision and Pattern Recognition — 12 papers
• Artificial Intelligence — 10 papers
• Multimedia — 6 papers
• Sentiment Analysis and Opinion Mining — 5 papers
• Human-Computer Interaction — 3 papers
• Audio and Speech Processing — 2 papers
• Machine Learning — 2 papers
• Explainable Artificial Intelligence (XAI) — 1 papers

Highest-Cited Papers

1. A dual-domain guided emotion-specialized swin transformer for enhancing speech emotion recognition
2. Reading User Distress From the Inside: Do a Language Model's Hidden States Track a Person's Distress Better Than the Model's Own Reply Does?
3. Adaptive learning behavior recognition using multimodal transformer based dynamic modality regulation
4. Dual-stream audio–visual Transformer fusion for harmful video content detection
5. Metadata Leakage in Encrypted Voice
6. Consensus-Guided Shared-Specific Tri-View Learning for Speech Emotion Recognition
7. Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition
8. Dynamic adaptive fusion and adversarial alignment model for robust multimodal affective perception in industrial IoT social robots
9. Multimodal Representation Learning for Winter Ice and Snow Wellness Tourism Experience Evaluation under Deep Learning
10. "You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling
11. Multimodal Aspect-Level Sentiment Analysis Based on Gated Noise Filtering and Emotion-Relevance Interaction
12. Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts
13. Divide and Conquer: Mixture-of-Bottleneck Experts in Informative Ordinal Space for Video-based Multimodal Sentiment Analysis
14. Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition
15. Evaluating early, late, hybrid and meta fusion in multimodal emotion detection with pretrained models
16. Affect-Prototype Guided Fusion for Open-Vocabulary Incomplete Multi-modal Emotion Recognition
17. Multimodal transformer and directed relational graph learning for emotion recognition in conversations with potential applications in college student mental health research
18. ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models
19. Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos
20. QESM: A Quantum-Inspired Network with Dynamic Fusion and Entangled Measurement for multimodal emotion recognition

Sub-Regions

• Dispute Resolution and Class Actions — 74 papers
• Computation and Language — 31 papers
• Emotion and Mood Recognition — 31 papers
• Audio and Speech Processing — 24 papers
• Multimedia — 21 papers
• Legal Issues in Education — 15 papers