MCMI 2024: Multi- and Cross-Modal Information for Enhanced Pattern Recognition co-located with ICPR 2024 Kolkata, India, December 1, 2024

MCMI 2024 is an interdisciplinary workshop whose goal is to foster interdisciplinary collaboration across various fields, including audio processing, computer vision, and natural language processing, among others. The themes of the workshop includes novel applications and innovative solutions related to acquisition and integration of data from different sources for holistic pattern recognition, as well as examining how cross-domain insights can be used to comprehend and analyze complex, multimodal datasets. The workshop thus aims at bringing together researchers and practitioners from different areas to discuss recent progress in multimodal pattern recognition.

Submission Guidelines

The MCMI workshop accepts novel, previously unpublished papers that are not under review elsewhere. The topic of the workshop is the convergence and fusion of information from multiple modalities to allow for robust pattern recognition and understanding. The full list of topics of interest can be found on the Topics of Interest page.

Submission Format

All paper submissions must conform to the formatting instructions of Springer LNCS. The maximum length of the paper is 10 pages, including all figures, tables, and appendices. Papers must be submitted in PDF format and will follow a single-blind review process.

Templates for the submission are available in LaTeX and Word.

List of Topics

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

Committees

Organizing Committee

• Moreno La Quatra, Kore University of Enna, Italy
• Nicole Dalia Cilia, Kore University of Enna, Italy
• Vincenzo Conti, Kore University of Enna, Italy
• Salvatore Sorce, Kore University of Enna, Italy
• Giovanni Garraffa, Kore University of Enna, Italy
• Valerio Mario Salerno, Kore University of Enna, Italy

Publication

MCMI 2024 is an IAPR endorsed event, co-located with the 26th International Conference on Pattern Recognition (ICPR 2024) in Kolkata, India.

Accepted papers will be published by Springer in the Lecture Notes in Computer Science (LNCS) series.

Venue

The workshop will take place on December 1st, 2024 in Kolkata, India and is co-located with the International Conference on Pattern Recognition (ICPR 2024).

Contact

All questions about submissions should be emailed to mcmi@unikore.it .