AI4Media: ACM TOMM Special Issue on Realistic Synthetic Data: Generation, Learning, Evaluation

January 24th, 2023 Daniela Lopez de Luise
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The ACM Transactions on Multimedia Computing, Communications, and Applications organises a Special Issue on “Realistic Synthetic Data: Generation, Learning, Evaluation”. The Special Issue is endorsed by the AI4Media project and the Guest Editors are members of the AI4Media consortium.

The call for papers can be found below and in the attachment. The submission deadline is March 31st, 2023.

The Topics of Interest include:

  • Synthetic data for various modalities, e.g., signals, images, volumes, audio, etc.
  • Controllable generation for learning from synthetic data.
  • Transfer learning and generalization of models.
  • Causality in data generation.
  • Addressing bias, limitations, and trustworthiness in data generation.
  • Evaluation measures/protocols and benchmarks to assess quality of synthetic content.
  • Open synthetic datasets and software tools.
  • Ethical aspects of synthetic data.

Please consider submitting your work to this special issue!

Thank you,

Best regards,

 

 

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