Profile picture of Ahmed Elhayek

Dr. Ahmed Elhayek

E-Mail: ahmed.elhayek@dfki.de
Position: Former Employee
Phone: +49 (0)631 20575 3560
About:

Dr. Ahmed Elhayek received his Master degree from Saarland University in the year 2010 where he developed a novel simultaneous interpolation and deconvolution approach for 3D reconstruction of cell images. He worked on implementing a deblurring algorithm for high-speed motion capture during his internship in the Max-Planck-Institute for Informatics. He received his PhD degree from the Max-Planck-Institute and Saarland University in the 2015. The research topic of his PhD was “human motion capture in general uncontrolled environments with sparse multi-camera setup”. After his PhD, he joined the the Augmented Vision group at DFKI as a researcher.

9 Publications by Dr. Ahmed Elhayek:

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.
Details | Link 1

THOR-Net: End-to-End Graformer-Based Realistic Two Hands and Object Reconstruction With Self-Supervision
Ahmed Tawfik Aboukhadra, Muhammad Jameel Nawaz 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.
Details | Link 1 | Link 2

HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
Muhammad Jameel Nawaz Malik, Didier Stricker, Sk Aziz Ali, Vladislav Golyanik, Soshi Shimada, Ahmed Elhayek, Christian Theobalt
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 1 Seiten 1-13 IEEE 11/2021 .
Details | Link 1

Real-Time Energy Efficient Hand Pose Estimation: A Case Study
Mhd Rashed Al Koutayni, Vladimir Rybalkin, Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Christian Weis, Gerd Reis, Norbert Wehn, Didier Stricker
Sensors - Open Access Journal (sensors) 20 Seiten 1-27 MDPI 5/2020 .
Details | Link 1

Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data
Onorina Kovalenko, Vladislav Golyanik, Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Didier Stricker
Sensors - Open Access Journal (sensors) 19 20 Seite 20 MDPI 10/2019 .
Details | Link 1

Structure-aware 3D Hand Pose Regression from a Single Depth Image
Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Didier Stricker
EuroVR (EuroVR-2018), October 22-23, London, United Kingdom
Details | Link 1

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker
International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy
Details | Link 1 | Link 2

Fully Automatic Multi-person Human Motion Capture for VR Applications
Ahmed Elhayek, Onorina Kovalenko, Pramod Murthy, Muhammad Jameel Nawaz Malik, Didier Stricker
EuroVR (EuroVR-2018), October 22-23, London, United Kingdom
Details | Link 1

3D Human Pose Tracking inside Car using Single RGB Spherical Camera
Pramod Murthy, Onorina Kovalenko, Ahmed Elhayek, Christiano Couto Gava, Didier Stricker
ACM Chapters Computer Science in Cars Symposium (CSCS-17), July 6, Munich, Germany
Details | Link 1