![](https://webapps.unitn.it/public/store/ermete/persona/per0019045/ufficiale.jpg?c=590237882)
Paolo Rota
Area CUN: Ingegneria industriale e dell'informazione (09)
Settore scientifico disciplinare: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI (ING-INF/05)
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Synthetic-to-real Language-guided Action/Activity recognition |
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lunedì 15 luglio 2024
Synthetic datasets are a potentially unlimited source of new data. On the other hand, the domain gap between synthetic and real data is relevant, and often a model trained on the first performs poorly on the latter. This project aims to learn temporal dynamics, and disentangling synthetic appearance using large language models. |