Latest Research in Emotion and Mood Recognition
29 research papers · 2026 median publication year
Top Research Topics in Emotion and Mood Recognition
- Emotion and Mood Recognition — 13 papers
- Computer Vision and Pattern Recognition — 7 papers
- Multimedia — 4 papers
- Artificial Intelligence — 2 papers
- Machine Learning — 1 papers
- Sound — 1 papers
- Audio and Speech Processing — 1 papers
Highest-Cited Papers
- Multimodal Ambivalence and Hesitancy Recognition via Cross-Attention and Gated Fusion
- CONFER: Conflict-Aware Evidence Negotiation for Regime-Calibrated Weak Supervision in Multimodal Emotion Recognition
- Towards More Expressive Spoken LLMs: Fine-Grained Intent Benchmarking and Acoustic-Lexical Decoupled Policy Optimization
- HLPCMF: A Hypergraph Learning and Pairwise Cross-Modal Fusion Model for Multimodal Emotion Recognition in Conversation
- Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
- AffectFusion: A Comparative Study of Early and Late Fusion Architectures for Multimodal Emotion Recognition
- AffectFusion: A Comparative Study of Early and Late Fusion Architectures for Multimodal Emotion Recognition
- Context-Aware Mixture of Domain Experts for Bodily Expression of Emotion in the Wild
- Beyond One-Size-Fits-All: Personalized and Culturally Adaptive Emotional TTS via Interactive Optimization of Individual Emotion Perception Spaces
- Adaptive Emotional Video Captioning via Affective Heterogeneous Graph Reasoning and Multi-task Joint Learning
- Latency-Aware Hybrid Transformer–Capsule Network for Audio-Visual Emotion Recognition in Edge–Fog–Cloud Environments
- A graph-guided cross-modal attention network for multimodal emotion recognition via emotion-shift modeling
- Do Visual Features Improve Other-Initiated Repair Detection? A Dyadic Multimodal Approach
- EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization
- Lightweight multimodal EEG emotion recognition with cross-modal calibration for digital visual interaction
- MAFN: Multimodal Attention Fusion Network for Emotion Recognition
- Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction
- Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
- Fine-Grained Pose-Aware Visual Fusion for Emotion Recognition in Conversational Video Streams
- Challenges in Emotion Recognition Across Modalities: A Comparative Analysis