The workshop will invite participation through paper submissions and poster presentations in the area of multimodal representation learning in healthcare. The topic of the workshop is very relevant to the current discourse of investigation of CV, NLP, and ML in healthcare being the immediate impacts on society and the biggest challenges faced by the community. We list prospective topics (but are not limited to) with specific applications in the healthcare domain:

• Domain generalization and adaptation for multimodal models; especially new findings / insights that agree or disagree with previous findings in vision-only tasks 
• Adversarial robustness of multimodal systems 
• Calibration and uncertainty estimation for multimodal models 
• Detection and mitigation of fake and misleading images 
• Watermarking, fingerprinting, or other preventative approaches for misuse of generative models 
• Reliability from a human perspective, including investigations of bias, fairness, malicious use, users' perception of open-source multimodal systems
• Human-AI teaming for multimodal learning
• Ideas from human-computer interaction research that seek to improve reliability 
• New benchmarks, datasets, evaluation metrics for testing open-domain reliability of multimodal systems 
• Commentary and analysis of failure cases or negative results
• Out-of-Distribution detection for multimodal problems and for tasks beyond classification, detection, segmentation 
• Fairness, explanability, interpretability of multimodal reasoning models 
• Data-centric AI methods for cleaning, curating, and generating biomedical training data 

Our workshop invites 4-page papers that describe innovative ideas and developments. We will also accept ongoing work. The reviewing process will be double-blind. Authors will have an option to (1) opt into ICHI workshop proceedings or (2) a non-archival route that allows papers to be subsequently or concurrently submitted to other venues. Submissions and reviews will not be public. 

Important Dates:
♦ Submission Deadline:  
  March 31st, 2024, Anywhere on Earth (UTC-12) 
♦ Notification of Decision:  
  April 11, 2024, Anywhere on Earth (UTC-12) 
♦ Camera Ready Deadline:  
  April 21st, 2024, Anywhere on Earth (UTC-12) 
Submission Link:
♦ Submit your manuscript through EasyChair, and select Multimodal4Health Workshop.

Third Call for Papers (with Deadline Extension) for the 21st International Conference on Content-Based Multimedia Indexing — CBMI 2024

September 18 – 20, 2024 in Reykjavik, Iceland

**** The CBMI 2024 submission deadline has been extended to April 5, 2024

**** The conference proceedings will be published by IEEE

After successful editions across Europe in France, Austria, Italy, UK, Czech Republic, and Hungary, the Content-Based Multimedia Indexing (CBMI) conference will take place in Reykjavík, Iceland this coming September 2024. CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualisation and analytics. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence.  Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics. In addition, special sessions on specific technical aspects or application domains are planned. 

Conference Website: http://cbmi2024.org/

The conference proceedings will be published by IEEE. Authors can submit full papers (6 pages + references), short papers (4 pages + references), special session papers (6 pages + references) and demonstration proposals (4 pages + 1 page demonstration description + references). Authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special journal issue in MTAP (approval pending). Submissions to CBMI are peer reviewed in a single blind process. All types of papers must use the IEEE templates at https://www.ieee.org/conferences/publishing/templates.html. The language of the conference is English.

CBMI 2024 proposes eight special sessions:

• AIMHDA: Advances in AI-Driven Medical and Health Data Analysis

• Content-Based Indexing for Audio and Music: From Analysis to Synthesis

• ExMA: Explainability in Multimedia Analysis

• IVR4B: Interactive Video Retrieval for Beginners

• MIDRA: Multimodal Insights for Disaster Risk Management and Applications

• MmIXR: Multimedia Indexing for XR

• Multimedia Analysis and Simulations for Digital Twins in the Construction Domain

• Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons

Submission Deadlines

• Full and short research papers are due April 5, 2024

• Special session papers are due April 5, 2024

• Demonstration submissions are due April 22, 2024

CBMI 2024 seeks contributions on the following research topics:

Multimedia Content Analysis and Indexing:

• Media content analysis and mining

• AI/ML approaches for content understanding

• Multimodal and cross-modal indexing

• Activity recognition and event-based multimedia indexing and retrieval 

• Multimedia information retrieval (image, audio, video, text)

• Conversational search and question-answering systems

• Multimedia recommendation

• Multimodal analytics, summarization, visualisation, organisation and browsing of multimedia content

• Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)

• Large multimedia models, large language models and vision language models

• Explainability in multimedia learning

• Large scale multimedia database management

• Evaluation and benchmarking of multimedia retrieval systems

Multimedia User Experiences:

• Extended reality (AR/VR/MR) interfaces

• Mobile interfaces

• Presentation and visualisation tools

• Affective adaptation and personalization

• Relevance feedback and interactive learning

Applications of Multimedia Indexing and Retrieval:

• Multimedia and sustainability

• Healthcare and medical applications

• Cultural heritage and entertainment applications

• Educational and social applications

• Egocentric, wearable and personal multimedia

• Applications to forensics, surveillance and security

• Environmental and urban multimedia applications

• Earth observation and astrophysics

On behalf of the CBMI 2024 organisers,