Workshop on Multimodal Content Moderation (MMCM)

This workshop intends to draw more visibility and interest to this challenging field, and establish a platform to foster in-depth idea exchange and collaboration. Authors are invited to submit original and innovative papers. We aim for broad scope, topics of interest include but are not limited to:

• Multi-modal content moderation in image, video, audio/speech, text;
• Context aware content moderation;
• Datasets/benchmarks/metrics for content moderation;
• Annotations for content moderation with ambiguous policies, perspectivism, noisy or disagreeing labels;
• Content moderation for synthetic/generated data (image, video, audio, text); utilizing synthetic dataset;
• Dealing with limited data for content moderation.
• Continual & adversarial learning in content moderation services;
• Explainability and interpretability of models;
• Challenges of at-scale real-time content moderation needs vs. human-in-the-loop moderation;
• Detecting misinformation;
• Detecting/mitigating biases in content moderation;
• Analyses of failures in content moderation.

Submission Link: https://cmt3.research.microsoft.com/MMCM2024/Submission/Index

Authors are required to submit full papers by the paper submission deadline. These are hard deadlines due to the tight timeline; no extensions will be given. Please note that due to the tight timeline to have accepted papers included in the CVPR proceedings, no supplemental materials or rebuttal will be accepted.

Papers are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed. Papers with more than 8 pages (excluding references) or violating formatting specifications will be rejected without review. For more information on the submission instructions, templates, and policies (double blind review, dual submissions, plagiarism, etc.), please consult CVPR 2024 - Author Guidelines webpage. Please abide by CVPR policies regarding conflict, plagiarism, double blind review, dual submissions, and attendance.

Accepted papers will be included in the CVPR proceedings, on IEEE Xplore, and on CVF website. Authors will be required to transfer, to the IEEE, copyrights for any papers published in the conference proceedings. At least one author is expected to attend the workshop and present the paper.

• Christopher Clarke, PhD student, University of Michigan
• Gaurav Mittal, Senior Researcher, Microsoft
• J.P. Lewis, Staff Research Scientist, Google Research
• Jay Patravali, Data & Applied Scientist II, Microsoft
• Jialin Yuan, PhD Student, Oregon State University
• Jiarui Cai, Applied Scientist, AWS AI Labs
• Lan Wang, PhD Student, Michigan State University
• Mahmoud Khademi, Researcher 2, Microsoft
• Mamshad Nayeem Rizve, PhD Student, University of Central Florida
• Matthew Hall, Principal Applied Scientist, Microsoft

• Reid Pryzant, Senior Researcher, Microsoft
• Rishi Madhok, Senior Applied Science Manager, Microsoft
• Sandra Sajeev, Data Scientist 2, Microsoft
• Sarah Laszlo, Staff Research Scientist, Google Research
• Satarupa Guha, Applied Scientist II, Microsoft
• Simon Baumgartner, Software Engineer, Google Research
• Soumik Mandal, Applied Scientist, Amazon
• Tobias Rohde, Applied Scientist II, Amazon
• Xuhui Zhou, PhD student, Carnegie Mellon University
• Ye Yu, Senior Software Engineer, Microsoft
• Zhen Gao, Applied Scientist II, Amazon