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MuSe 2024 : The 5th International Multimodal Sentiment Analysis Challenge and Workshop

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Link: https://www.muse-challenge.org/
 
When Oct 28, 2024 - Nov 1, 2024
Where Melbourne, Australia
Submission Deadline Jul 19, 2024
Notification Due Aug 5, 2024
Final Version Due Aug 19, 2024
Categories    sentiment analysis   affective computing   social perception   humor detection
 

Call For Papers

The MuSe 2024 is dedicated to multimodal sentiment and emotion recognition. The challenge provides a stimulating environment for developing and evaluating novel approaches to multimedia processing and deep learning methods for automatic audiovisual, textual, and physiological affect modeling, under a common experimental framework.
The challenge is intended to appeal to a variety of research communities, encouraging synergies between different disciplines. Mainly, MuSe 2024 targets researchers interested in audio-visual emotion recognition, unimodal and multimodal representation learning, health informatics, and NLP-based emotion and sentiment analysis. All raw recordings, transcriptions, pre-extracted features, and model baselines are available on our website.

The MuSe 2024 Sub-Challenges pose two novel multimodal affective computing tasks:


*****Sub-challenge 1*****

MuSe-Perception: Dive into predicting 16 dimensions of social perception (like Assertiveness, Likability, Warmth, and more).


*****Sub-challenge 2*****

MuSe-Humor: Tackle the task of recognizing cross-cultural spontaneous humor in football press conferences—train on German data, test on English!


*****Ready to Participate? Check out the details below:*****

GitHub (codes, model weights, etc.): https://github.com/amirip/MuSe-2024
Baseline Paper: https://www.researchgate.net/publication/380664467_The_MuSe_2024_Multimodal_Sentiment_Analysis_Challenge_Social_Perception_and_Humor_Recognition

Challenge Website (and CfP): https://www.muse-challenge.org/


*****Organizers*****

Shahin Amiriparian, TU Munich, Germany
Björn Schuller, Imperial College London, UK
Erik Cambria, NTU/SenticNet, Singapore
Simone Eulitz, LMU Munich, Germany
Andreas König, University of Passau, Germany
Lukas Christ, University of Augsburg, Germany

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