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M.Sc Mohamed Adel Musallan

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg

 

Biography

Mohamed Adel Musallam received his master’s degree in computer vision from the University of Burgundy Franche-Comté (France), in 2019. His research interests are in computer vision and Deep Learning focusing on 3D pose estimation, geometric reasoning and Deep Models Architectures for Space Applications.

Research Interests

  • Computer Vision
  • Pose Estimation
  • Deep Learning

Publications

2022

Musallam, Mohamed Adel, Vincent Gaudillière, Miguel Ortiz del Castillo, Kassem Al Ismaeil, and Djamila Aouada. 2022. “Leveraging Equivariant Features for Absolute Pose Regression.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 6876–86.

2021

Ortiz Del Castillo, Miguel, Mohamed Adel Mohamed Ali, Michele Lynn Jamrozik, Vincent Gaudilliere, and Djamila Aouada. 2021. “Deep Learning-Based Image Enhancement for Space Applications.”

Mohamed Ali, Mohamed Adel, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, Michel Poucet, and Djamila Aouada. 2021. “Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis..” In 2021 IEEE International Conference on Image Processing (ICIP), 11–15. IEEE.

Garcia, Albert, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, and Djamila Aouada. 2021. “Lspnet: A 2d Localization-Oriented Spacecraft Pose Estimation Neural Network.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2048–56.

2019

Musallam, Mohamed Adel, Renato Baptista, Kassem Al Ismaeil, and Djamila Aouada. 2019. Temporal 3d Human Pose Estimation for Action Recognition from Arbitrary Viewpoints. In 2019 International Conference on Computational Science and Computational Intelligence (CSCI), 253–58. IEEE.