lara raad cisa





about me

I am a postdoctoral researcher at Universitat Pompeu Fabra, Barcelona, working with Prof. Coloma Ballester and Prof. Gloria Haro.

I obtained my Ph.D. from ENS Paris Saclay, France, under the supervision of Prof. Agn├Ęs Desolneux and Prof. Jean-Michel Morel.

My research interests are high resolution texture synthesis and analysis using patch based methods, modelisation of the patch space, 
video restauration and ill posed inverse problems as super resolution and colorisation.


publications

On anisotropic optical flow inpainting algorithms,
  L. Raad, M. Oliver, C. Ballester, G. Haro, E. Meinhardt, 
  Image Processing On Line, 2020.
  PDF

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution,
  P. Vitoria, L. Raad, C. Ballester, 
  Winter Conference on Applications of Computer Vision, 2020.
  PDF

Motion Inpainting by an Image-Based Geodesic AMLE Method,
  M. Oliver, L.Raad, C. Ballester, G. Haro, 
  IEEE International Conference on Image Processing, 2018.
  PDF

A survey of exemplar-based texture synthesis,
  L.Raad, A. Davy, A. Desolneux, J.-M. Morel,
  Annals of Mathematical Sciences and Applications, 2018.
  PDF

Efros and Freeman Image Quilting Algorithm for Texture Synthesis,
  L.Raad and B. Galerne,
  Image Processing On Line, 2017.
  PDF link

Conditional and multiscale locally Gaussian models for texture synthesis,
  L.Raad, A. Desolneux, J.-M. Morel,
  Journal of Mathematical Imaging and Vision, 2016.
  PDF

Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models,
  L.Raad, A. Desolneux, J.-M. Morel,
  Iberoamerican Congress on Pattern Recognition, 2015.
  PDF

Conditional Gaussian Models for Texture Synthesis,
  L.Raad, A. Desolneux, J.-M. Morel,
  International Conference on Scale Space and Variational Methods in Computer Vision, 2015.
  PDF

Locally Gaussian Exemplar Based Texture Synthesis,
  L.Raad, A. Desolneux, J.-M. Morel,
  IEEE International Conference on Image Processing, 2014.
  PDF


teaching

2017-2020 - Universitat Pompeu Fabra

  Image processing
  Computer Vision
  Numerical methods

2012-2016 - ENS Paris-Saclay

  Hilbert and Fourier analysis
  Numerical methods and ordinary differential equations
  Optimisation methods
  Introduction to GNU/Linux and LaTex