• Corpus ID: 232240150

Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition

@article{GonzalezBillandon2021CognitiveAA,
  title={Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition},
  author={Jonas Gonzalez-Billandon and Giulia Belgiovine and Alessandra Sciutti and Giulio Sandini and Francesco Rea},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.09072}
}
The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-giving, and rehabilitation. Faces and voices constitute two important sources of information to enable artificial systems to reliably recognize individuals. Deep learning networks have achieved state-of-the-art results and demonstrated to be suitable tools to address such a task. However, when those networks are applied… 

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