Dr. Ahmed-Elhayek - University of Prince Mugrin
Ahmed

a.elhayek@upm.edu.sa

Dr Ahmed Elhayek

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. Then, he worked on implementing a deblurring algorithm for high-speed motion capture during his internship in the Max-Planck-Institute for Informatics (Germany). He received his Ph.D. degree from the Max-Planck-Institute and Saarland University in 2015. The research topic of his Ph.D. was “Human motion capture in general uncontrolled environments with sparse multi-camera setup”. After his Ph.D., he worked in the Augmented Vision group at DFKI (German Research Centre for Artificial Intelligence) and the University of Kaiserslautern for three years. In 2018, he joined the faculty of Computer and Cyber Sciences in the University of Prince Mugrin.

Academic Degrees

  • Ph.D. in Computer Engineering,Thesis: Human Motion Capture in General Uncontrolled Environments with Sparse Multi-camera Setup, Max-Planck-Institute for Computer Science and Saarland University, December 2015

Academic Appointments

  • Assistant Professor

Professional Experience

  • Image Processing
  • Computer Vision
  • Machine Learning
  • C, C++ and Java Programming
  • Databases
  • Computer Graphics
  • Software development

Awards / Achievement

  • Google VR Research Award: support my proposal ”CNN-based Motion Capture on embedded systems for AR” with an award in the amount of 125k USD, 2016.

Publications

Journal Papers

  • A. Elhayek, E. Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele C. Theobalt: MARCOnI - ConvNet-based MARker-less Motion Capture in Outdoor and Indoor Scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Journal with Minor Revision, 2016.
  • A. Elhayek, C. Stoll, K. I. Kim, H.-P. Seidel, C. Theobalt: Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters, Computer Graphics Forum (CGF), 2014.
  • N. Persch, A. Elhayek, M. Welk, S. Grewenig, K. Narr, A. Kraegeloh, J. Weickert: Enhancing 3-D Cell Structures in Confocal and STED Microscopy: A Joint Model for Interpolation, Deblurring and Anisotropic Smoothing, Measurement Science and Technology, vol. 24, no. 12, 125703, 2013.
  • Revised version of Technical Report No. 321, Department of Mathematics, Saarland University, Germany, 2013.

Conference Papers:

  • J. Malik , A. Elhayek, D. Stricker: Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image, To 3D Vision (3DV) 2017.
  • P. Murthy, O. Kovalenko, A. Elhayek, C. Gava, D. Stricker: 3D human pose tracking inside car using single RGB spherical camera, To CSCS, 2017.
  • A. Elhayek, E. Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele C. Theobalt: Efficient ConvNet-based Marker-less Motion Capture in General Scenes with a Low Number of Cameras, To IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • A. Elhayek, C. Stoll, N. Hasler, K. I. Kim, H.-P. Seidel, C. Theobalt: Spatio-temporal Motion Tracking with Unsynchronized Cameras, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA, 2012.
  • A. Elhayek, C. Stoll, K. I. Kim, H.-P. Seidel, C. Theobalt: Feature-Based Multi-Video Synchronization with Subframe Accuracy,In A. Pinz, T. Pock, H. Bischof (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Springer, Berlin, 2012.
  • A. Elhayek, M. Welk, J. Weickert: Simultaneous Interpolation and Deconvolution Model for the 3-D Reconstruction of Cell Images, In M. Felsberg, R. Mester (Eds.): Pattern Recognition. Lecture Notes in Computer Science, Vol. 6835, 316-325, Springer, 2011.

Technical Reports:

  • N. Persch, A. Elhayek, M. Welk, A. Bruhn, S. Grewenig, K. Böse, A. Kraegeloh, and J. Weickert: Enhancing 3-D cell structures in confocal and STED microscopy: A joint model for interpolation, deblurring and anisotropic smoothing, Technical Report No. 321, Department of Mathematics, Saarland University, Saarbrücken, Germany, Jan. 2013.

Under submission

  • J. Malik , A. Elhayek, D. Stricker: End-to-end Estimation of 3D Hand Shape and Pose by Learning from Synthetic Depth, Under submission to 3D Vision (3DV) 2018.
  • A. Elhayek, P. Murthy, O. Kovalenko, J. Malik , D. Stricker: Fully Automatic Multi-person Human Motion Capture for VR Applications, Under submission to EuroVR 2018.
  • J. Malik, A. Elhayek , D. Stricker: Structure-aware 3D Hand Pose Regression from a Single Depth Image, Under submission to EuroVR 2018.
  • J. Malik, A. Elhayek , D. Stricker: 3DAirSig: A Real-time Framework for in-air Signature using a Depth Camera, Under submission to EuroVR 2018.
  • A. Elhayek, O. Kovalenko, D. Stricker: Echtzeit-Tracking von Sportaktivitäten mehrerer Personen mit nur einer Kamera, Schriftenreihe für Angewandte Trainingswissenschaft 2018.

Projects

    Selected Projects in Visual Computing:
  • A Real-time Framework for in-air Signature using a Depth Camera
  • 3D Human Pose Tracking inside Car using Single RGB Spherical Camera
  • Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image
  • Convolutional Neural networks (CNN) based Marker-less Motion Capture in General Scenes
  • Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters
  • Feature-Based Multi-Video Synchronization with Sub-frame Accuracy
  • Spatio-temporal Motion Tracking with Unsynchronized Cameras
  • Simultaneous Interpolation and Deconvolution Model for the 3-D Reconstruction of Cell Images

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