The topics of interest for MCMI 2026 include, but are not limited to:
Multimodal Architectures and Learning
- Multimodal Fusion Strategies
- Deep Learning Architectures for Multimodal Data
- Cross-Modal Feature Extraction and Representation Learning
- Self-Supervised and Contrastive Multimodal Learning
- Large Multimodal Models and Foundation Models
- Temporal Modeling in Multimodal Systems
Applications
- Audio-Visual Speech Recognition
- Scene and Object Recognition from Audio-Visual Cues
- Emotion Recognition from Multimodal Signals
- Multimodal NLP and Vision-Language Models
- Multimodal Applications in Healthcare
- Interaction Paradigms for Multimodal Data Acquisition
Evaluation, Ethics, and Security
- Multimodal Datasets and Benchmarks
- Robustness and Generalization across Modalities
- Adversarial Attacks and Defenses
- Privacy-Preserving Multimodal Learning
- Explainability in Multimodal Systems
- Ethical Considerations in Multimodal Data