Education Profile

  • M. E., Mechanical Engineering, American University of Beirut, Lebanon, 2014
  • B. E., Mechanical Engineering, Notre Dame University, Zouk Mosbeh, Lebanon, 2012

Honors & Awards

Valedictorian of the Faculty of Engineering (NDU 2012)

Professional Memberships

Computer Vision Foundation (CVF)

Jean Lahoud is a Ph. D. candidate 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 3​D scene understanding using RGB-D sensors.

Honors and Awards

In 2012, Jean was awarded the Valedictorian of the Faculty of Engineering (NDU 2012)

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
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
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