The topics of interest for MCMI 2024 include, but are not limited to:

Technological Advancements in Multimodal Systems

  • Multimodal Fusion Strategies
  • Deep Learning Architectures for Multimodal Fusion
  • Cross-Modal Feature Extraction and Learning
  • Audio-Visual Speech Recognition
  • Scene and Object Recognition from Audio-Visual Cues
  • Temporal Dynamics in Multimodal Data Processing
  • Robustness and Generalization across Diverse Modalities

Applications and Interaction in Multimodal Systems

  • Emotion Recognition in Multimodal Data
  • Natural Language Processing for Multimedia Content
  • Multimodal Datasets and Benchmarks
  • Novel Interaction Paradigms for Multimodal Data Acquisition

Security, Ethics, and Transparency in Multimodal Systems

  • Ethical Considerations in Multimodal Data Processing
  • Privacy-Preserving Multimodal Learning
  • Explainable AI (XAI) in Multimodal Systems
  • Security and Robustness in Multimodal Systems
  • Adversarial Attacks and Defense in Multimodal Systems

MCMI 2024 calls for submissions of regular papers reporting original research results in the field of multimodal pattern recognition. All submissions will be peer-reviewed by at least three members of the program committee. Accepted papers will be published in the conference proceedings, which will be published by Springer in the Lecture Notes in Computer Science (LNCS) series.

Regular paper submissions have specific requirements for length, content, and supporting materials that should be submitted. Please check the submission guidelines for details.

The submission site is now open. Please submit your papers through the official submission site.