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April 2024
A2I: Affective Artificial Intelligence (ICPR 2024)
Full-day, 1 Dec 2024, Kolkata Introduction The workshop on Affective Artificial Intelligence (A2I) at ICPR 2024 aims to encourage and highlight state-of-the-art research in affective computing and applications. The key focuses are on novel neural network architectures, incorporating anatomical insights and constraints, introducing new and challenging datasets, and exploiting multi-modal training. Call for Contributions Full Workshop Papers The workshop topics include (but are not limited to): Large-scale data generation or Inexpensive annotation for Affective Computing AI methods for Affective Computing with multimodal data Multi-modal method for emotion recognition Explainable and/or Privacy Preserving AI in affective computing Generative and responsible personalization of affective phenomena estimators with few-shot learning Bias in affective computing data (e.
11 minutes
MRAC: Multimodal and Responsible Affective Computing (ACM-MM 2024)
Half-day, Oct 2024, Melbourne Details MRAC workshop consists of two tracks. Please find the track-related websites and other details below: Track 1: https://react-ws.github.io/2024/ Track 2: https://zeroqiaoba.github.io/MER2024-website/
1 minute
MRAC: Multimodal, Generative and Responsible Affective Computing (ACM-MM 2024)
Half-day (Morning Session, Meeting Room 217, Level 2 of Melbourne Convention and Exhibition Centre (MCEC)), 1 Nov 2024, Melbourne Introduction Affective Computing involves the creation, evaluation and deployment of Emotion AI and Affective technologies to make people’s lives better. The creation, evaluation and deployment stages of the emotion-ai model require large amounts of multimodal data from RGB images to video, audio, text, and physiological signals. In principle, the development of any AI system must be guided by a concern for its human impact.
7 minutes
April 2023
REACT2023: REsponsible Affective CompuTing
Full day, Oct 2023 (Full-day) Introduction With the rapid advancements in social computing, multimedia, and sensing technology, Affective Computing research have provoked more discussion about the potential consequences of intelligent AI equipped with emotional intelligence. Affective computing research is engaged with ethics at different stages, from training of emotionally intelligent models with enormous amount of human data to deploying the code in application specific environment. In principal, the development of any AI system must be guided by a concern for its human impact.
5 minutes