Call For Papers

Call For Papers:

 We invite submissions on topics that include, but are not limited to, the following:

A. Multimodal Safety, Hate Speech & Social Media

1. Multimodal sentiment analysis in regional languages

2. Hate content video detection in regional languages

3. Trolling, offensive, and cyberbullying detection in memes and social media discourse

4. Multimodal data fusion and representation for hate speech detection in regional languages

5. Benchmark datasets and evaluation for multimodal hate speech in regional languages

6. Fake news, stance, and political deception detection in low-resource multimodal settings

7. Data collection and annotation methodologies for safer social media in low-resourced languages

8. Content moderation and cybersecurity strategies in regional/low-resource languages

9. Domestic violence and harmful discourse detection in online platforms

10. Understanding protests and emergency response through multimodal social media analysis

B. Multimodal Mental Health & Emotion

11. Emotion recognition using multimodal datasets

12. Multimodal depression detection in online discourse

13. Suicidal intent detection in code-mixed memes and discourse

14. Multimodal approaches for stress and mental health analysis

C. Bias, Fairness & Inclusivity

15. Multimodal cinematic content analysis for gender bias detection

16. Fairness, bias, and inclusivity in multimodal low-resource research

D. Core Multimodal Technologies

17. Multimodal embeddings and architectures

18. Multimodal dataset creation and annotation

19. Feature extraction and feature fusion techniques

20. Transfer learning and cross-modality adaptation

21. Generative models for multimodal data augmentation

22. Advanced prompting techniques for multimodal inference in low-resource languages

23. Handling hallucination and improving context-aware multimodal generation

E. Retrieval, Generation & Applications

24. Text-to-image retrieval and generation

25. Text-to-video generation

26. Text-to-sign language and video-based sign language translation

27. Multimodal recommender systems

28. Multimodal question answering and summarization in low-resource languages

29. Multimodal content generation

F. Multimodal Pretraining, Translation & Resource Efficiency

30. Pretraining and fine-tuning multimodal models for low-resource contexts

31. Resource-efficient and scalable multimodal systems

32. Multimodal machine translation for low-resource languages

33. Speech-to-text and speech-to-speech multimodal systems

G. Evaluation & Preservation

34. Evaluation metrics for multimodal systems in low-resource settings

35. Multimodal approaches for endangered language preservation

36. Visual and audio-text alignment for indigenous or heritage language resources

H. Applied Multimodal AI

37. Disease identification and diagnosis from multimodal data

38. Multimodal AI applications in healthcare, agriculture, manufacturing, and entertainment