CALL FOR PAPERS
MCMI Workshop 2024 - Multi- and Cross-Modal Information for Enhanced Pattern Recognition
Co-located with the 26th International Conference on Pattern Recognition (ICPR 2024).
MCMI 2024 @ ICPR 2024
Website: mcmi2024.unikore.it
December 1, 2024, Kolkata, India
Important Dates
Full papers submission: July 1, 2024
Notification of paper acceptance: September 1, 2024
Camera-ready of accepted papers: September 27, 2024
Workshop: December 1, 2024
Goal of the Workshop
The MCMI workshop aims to explore the convergence and fusion of information from multiple modalities, forming the backbone of modern AI systems for robust pattern recognition and understanding. This interdisciplinary workshop encourages collaboration across fields such as audio processing, computer vision, and natural language processing. It serves as a venue to discuss recent findings, share innovative methodologies, and address future directions in multimodal pattern analysis.
Topics of interest
We invite submissions of high-quality papers reporting original research and significant new work not under review or published elsewhere in the following areas:
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
Submission Guidelines
We invite submissions of high-quality papers reporting original research and significant new work not under review or published elsewhere in the following areas:
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
Submission Guidelines
Papers must be formatted according to Springer's LNCS template and submitted via the workshop's submission system. Submissions should present substantial new work and should not be under review elsewhere:
Paper length: up to 10 pages in Springer LNCS format, including figures, tables, and references.
Submission link: https://cmt3.research.microsoft.com/MCMI2024/
Peer review: Single-blind
Accepted papers will be published in the Lecture Notes in Computer Science series by Springer, and at least one author of each accepted paper must register for the workshop by the camera-ready deadline.
Workshop Organizers
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
For questions regarding the submission process, please contact the organizers at mcmi@unikore.it.
Diversity and Inclusion Statement
MCMI 2024 is committed to fostering an inclusive environment that values diversity. We thank our participants for their cooperation in helping us create a safe and positive workshop experience for everyone.
Paper length: up to 10 pages in Springer LNCS format, including figures, tables, and references.
Submission link: https://cmt3.research.microsoft.com/MCMI2024/
Peer review: Single-blind
Accepted papers will be published in the Lecture Notes in Computer Science series by Springer, and at least one author of each accepted paper must register for the workshop by the camera-ready deadline.
Workshop Organizers
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
For questions regarding the submission process, please contact the organizers at mcmi@unikore.it.
Diversity and Inclusion Statement
MCMI 2024 is committed to fostering an inclusive environment that values diversity. We thank our participants for their cooperation in helping us create a safe and positive workshop experience for everyone.