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Dr.-Ing. Nadia Robertini

Organizational unit Augmented Vision
Contact +49 631 20575 3492 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 122D-67663 Kaiserslautern

Publications

ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction From a Single Depth Map

Ahmed Tawfik Aboukhadra; Jameel Malik; Nadia Robertini; Ahmed Elhayek; Didier Stricker

In: IEEE Access (IEEE), Vol. 12, Pages 124021-124031, IEEE, 8/2024.

To the publication

SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network

Ahmed Tawfik Aboukhadra; Nadia Robertini; Jameel Malik; Ahmed Elhayek; Gerd Reis; Didier Stricker

2024.

To the publication

THOR-Net: End-to-End Graformer-Based Realistic Two Hands and Object Reconstruction With Self-Supervision

Ahmed Tawfik Aboukhadra; Jameel Malik; Ahmed Elhayek; Nadia Robertini; Didier Stricker

In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 3-7, Waikoloa, Hawaii, USA, Pages 1001-1010, IEEE, 2023.

To the publication

Profile

  • GreifbAR

    Greifbare Realität - geschickte Interaktion von Benutzerhänden und -fingern mit realen Werkzeugen in Mixed-Reality Welten

    On 01.10.2021, the research project GreifbAR started under the leadership of the DFKI (research area Augmented Reality). The goal of the GreifbAR project is to make mixed reality (MR) worlds,…

    GreifbAR

  • DECODE

    Continual learning for visual and multi-modal encoding of human surrounding and behavior

    Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These include topics such as motion estimation, object…

    DECODE