who am i

Fayez Lahoud

Research & Development Engineer, Computer Science

I am currently an R&D Engineer in the machine learning and analytics team at Pix4D SA.

My research interests are in Computer Vision and Graphics, specifically to apply machine learning for image processing tasks.

news

Joined Pix4D

Jun 2019

I have joined Pix4D SA as a professional R&D Engineer.
I will be working in their machine learning and analytics team.

I will be giving two presentations about super resolution in Computational Imaging XVII and virtual reality in The Engineering Reality of Virtual Reality 2019 at EI 2019 in California.

I will give a presentation about image re-coloring in the deep learning and color workshop at CIC 26 in Vancouver. [Slides]

I won the challenge with IVRL members R. Zhou and S. Süsstrunk.
I will be giving a spotlight presentation at PIRM 2018 in Munich about our solution.

education

M.S., Computer Science - École Polytechnique Fédérale de Lausanne

Sep 2015 - Feb 2018

B.E., Computer and Communication Engineering - American University of Beirut

Sep 2009 - Jul 2013
  • Minor in Mathematics
  • 7 x Dean's Honor List

experience

Doctoral Assistant - Image and Visual Representation Lab (EPFL)

Mar 2018 - May 2019
  • Multi-Spectral image enhancement and super resolution
  • Binary neural network optimization
  • Zero-Learning multi-modal image fusion

Technologies: Python, PyTorch, MATLAB, C/C++, Image processing, Neural networks

Research Intern - Sony Europe Limited

Feb 2017 - Aug 2017
  • Audio speech recognition using VGG networks
  • Neural network development using Sony's NNAbla
  • Tools for NNabla such as network graph drawing and activation visualization

Technologies: C/C++, Cython, Python, NNabla, Open Grid Engine

Software Developer Intern - Vidinoti SA

Jun 2016 - Sep 2016
  • Browser-based augmented reality library for mobile browsers
  • Image recognition and tracking using AGAST corner detection and BRIEF descriptors
  • NPM module for easy calculation of BRIEF descriptors

Technologies: JavaScript, RequireJS, NPM, Gulp, Python, Image processing

Software Developer - Murex Systems

Jul 2012 - Sep 2015
  • Java Swing manipulation API for test developers
  • Web templates for test reports and automated tools
  • Java-JavaScript bindings API in JavaFx Web Engine

Technologies: JavaFx, Groovy, Maven, JavaScript, AngularJS, Ruby, Rails

publications

  • F. Lahoud and S. Süsstrunk, “AR in VR: Simulating augmented reality glass for image fusion,” Electronic Imaging, 2019.

    @article{lahoud2019ar,
      title = {AR in VR: Simulating augmented reality glass for image fusion},
      author = {Lahoud, Fayez and S{\"u}sstrunk, Sabine},
      journal = {Electronic Imaging},
      year = {2019},
      publisher = {Society for Imaging Science and Technology}
    }
    

  • R. Zhou, F. Lahoud, M. El Helou, and S. Süsstrunk, “A comparative study on wavelets and residuals in deep super resolution,” Electronic Imaging, 2019.

    @article{zhou2019comparative,
      title = {A comparative study on wavelets and residuals in deep super resolution},
      author = {Zhou, Ruofan and Lahoud, Fayez and El Helou, Majed and S{\"u}sstrunk, Sabine},
      journal = {Electronic Imaging},
      year = {2019},
      publisher = {Society for Imaging Science and Technology}
    }
    

  • F. Lahoud, R. Achanta, P. Márquez-Neila, and S. Süsstrunk, “Self-Binarizing Networks,” arXiv preprint arXiv:1902.00730, 2019.

    @article{lahoud2019self,
      title = {Self-Binarizing Networks},
      author = {Lahoud, Fayez and Achanta, Radhakrishna and M{\'a}rquez-Neila, Pablo and S{\"u}sstrunk, Sabine},
      journal = {arXiv preprint arXiv:1902.00730},
      year = {2019}
    }
    

  • L. Fayez and S. Sabine, “Zero-learning fast medical image fusion,” in IEEE International Conference on Information Fusion (Fusion), 2019.

    @inproceedings{lahoud2019zero,
      title = {Zero-learning fast medical image fusion},
      author = {Fayez, Lahoud and Sabine, Süsstrunk},
      booktitle = {IEEE International Conference on Information Fusion (Fusion)},
      year = {2019},
      organization = {IEEE}
    }
    

  • L. Fayez and S. Sabine, “Fast and Efficient Zero-Learning Image Fusion,” in arXiv preprint arXiv:1902.00730, 2019.

    @inproceedings{lahoud2019fast,
      title = {Fast and Efficient Zero-Learning Image Fusion},
      author = {Fayez, Lahoud and Sabine, Süsstrunk},
      journal = {arXiv preprint arXiv:1902.00730},
      year = {2019}
    }
    

  • F. Lahoud and S. Süsstrunk, “AR in VR: Simulating Infrared Augmented Vision,” in IEEE International Conference on Image Processing (ICIP), 2018.

    @inproceedings{lahoud2018arinvr,
      title = {AR in VR: Simulating Infrared Augmented Vision},
      author = {Lahoud, Fayez and S{\"u}sstrunk, Sabine},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      year = {2018},
      doi = {10.1109/ICIP.2018.8451811}
    }
    

  • F. Lahoud, R. Zhou, and S. Süsstrunk, “Multi-modal spectral image super-resolution,” in European Conference on Computer Vision, 2018, pp. 35–50.

    @inproceedings{lahoud2018multi,
      title = {Multi-modal spectral image super-resolution},
      author = {Lahoud, Fayez and Zhou, Ruofan and S{\"u}sstrunk, Sabine},
      booktitle = {European Conference on Computer Vision},
      pages = {35--50},
      year = {2018},
      organization = {Springer}
    }
    

  • F. Lahoud, M. S. Ortiz Segovia, B. Jin, and S. Süsstrunk, “Keyword-Based image color re-rendering with semantic segmentation,” in IEEE International Conference on Image Processing (ICIP), 2017.

    @inproceedings{lahoud2017keyword,
      title = {Keyword-Based image color re-rendering with semantic segmentation},
      author = {Lahoud, Fayez and Ortiz Segovia, Maria S and Jin, Bin and S{\"u}sstrunk, Sabine},
      booktitle = {IEEE International Conference on Image Processing (ICIP)},
      year = {2017},
      doi = {10.1109/ICIP.2017.8296820}
    }
    

  • C. M. Boukhater, O. Dakroub, F. Lahoud, M. Awad, and H. Artail, “An intelligent and fair GA carpooling scheduler as a social solution for greener transportation,” in Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE, 2014, pp. 182–186.

    @inproceedings{boukhater2014intelligent,
      title = {An intelligent and fair GA carpooling scheduler as a social solution for greener transportation},
      author = {Boukhater, Carl Michael and Dakroub, Oussama and Lahoud, Fayez and Awad, Mariette and Artail, Hassan},
      booktitle = {Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE},
      pages = {182--186},
      year = {2014},
      organization = {IEEE},
      doi = {10.1109/MELCON.2014.6820528}
    }
    

  • O. Dakroub, C. M. Boukhater, F. Lahoud, M. Awad, and H. Artail, “An intelligent carpooling app for a green social solution to traffic and parking congestions,” in Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on, 2013, pp. 2401–2408.

    @inproceedings{dakroub2013intelligent,
      title = {An intelligent carpooling app for a green social solution to traffic and parking congestions},
      author = {Dakroub, Oussama and Boukhater, Carl Michael and Lahoud, Fayez and Awad, Mariette and Artail, Hassan},
      booktitle = {Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on},
      pages = {2401--2408},
      year = {2013},
      organization = {IEEE},
      doi = {10.1109/ITSC.2013.6728586}
    }