Jean Lahoud was a Ph. D. student in Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at KAUST.
Education and Early Career
Jean Lahoud received his Bachelor of Engineering in Mechanical Engineering from Notre Dame University in Lebanon in 2012. In 2014, he obtained his Master of Engineering degree in the same field from American University of Beirut in Lebanon. Before joining KAUST, Jean was a product manager at Murex systems in Lebanon.
Research Interest
Jean Lahoud is interested in 3D scene understanding using RGB-D sensors.
Honors and Awards
In 2012, Jean was awarded the Valedictorian of the Faculty of Engineering (NDU 2012)
Education Profile
- Ph.D., Electrical Engineering ,King Abdullah University of Science and Technology (KAUST),Saudi Arabia, 2020
- M. E., Mechanical Engineering, American University of Beirut, Lebanon, 2014
- B. E., Mechanical Engineering, Notre Dame University, Zouk Mosbeh, Lebanon, 2012
Awards and Distinctions
Valedictorian of the Faculty of Engineering (NDU 2012)
Professional Memberships
Computer Vision Foundation (CVF)
Selected Publications
Müller, M., Casser, V., Lahoud, J., Smith, N., & Ghanem, B. (2018). Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. International Journal of Computer Vision, 126(9), 902–919. doi:10.1007/s11263-018-1073-7
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Lahoud, J., & Ghanem, B. (2017). 2D-Driven 3D Object Detection in RGB-D Images. 2017 IEEE International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2017.495
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Thabet, A. K., Lahoud, J., Asmar, D., & Ghanem, B. (2015). 3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes. Lecture Notes in Computer Science, 226–241. doi:10.1007/978-3-319-16808-1_16
