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Amr Gomaa Mohamed Elhady Gomaa, M.Sc.

Organisationseinheit Kognitive Assistenzsysteme
Kontakt +49 681 85775 5113 (Saarbrücken)

Adresse (Saarbrücken) Gebäude D3 2Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publikationen

SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios

Amr Gomaa; Robin Zitt; Guillermo Reyes; Antonio Krüger

In: Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology (UIST-2023), New York, NY, USA, UIST '23 Adjunct, ISBN 9798400700965, Association for Computing Machinery (ACM), 10/2023.

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Towards Adaptive User-Centered Neuro-Symbolic Learning for Multimodal Interaction with Autonomous Systems

Amr Gomaa; Michael Feld

In: Proceedings of the 25th International Conference on Multimodal Interaction. International Conference on Multimodal Interfaces (ICMI-2023), Paris, France, ICMI '23, ISBN 9798400700552, Association for Computing Machinery, 10/2023.

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It's All about You: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera

Amr Gomaa; Guillermo Reyes; Michael Feld

In: Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI-2023), Ingolstadt, Germany, AutomotiveUI '23, ISBN 9798400701054, Association for Computing Machinery (ACM), 9/2023.

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Alle Publikationen

Profil

  • SC_Gomaa

    TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

    Die jüngsten Fortschritte im Bereich des Machine Learning (insbesondere Computer Vision und Reinforcement Learning) haben es Robotern ermöglicht, Objekte und die Umgebung auf einer nicht-symbolischen…

    SC_Gomaa