lara raad cisa



about me
I am an Assistant Professor at IIE, FIng, UdelaR, Uruguay and before that I was an Assistant Professor (Enseignante Chercheuse) at ESIEE Paris, France.

Previously, I spent one year as a postdoctoral researcher at Télécom Paris, France, with Yann Gousseau and Bruno Galerne, and three years at Universitat
Pompeu Fabra, Spain, with Coloma Ballester and Gloria Haro. Before that, I received my Ph.D. at ENS Paris Saclay, France, under the supervision of
Agnès Desolneux and Jean-Michel Morel.

My research interests are in image processing and computer vision. Currently, I am mostly interested in the problem of stochastic modelling of natural images
and in particular exploring deep generative models and finding fundamental improvement to these models by solving inverse problems.

publications
Real-Time High Resolution Image Inpainting On Edge Devices
  M Sanchez, G Triginer, L Raad, C Ballester, I Sarasua
  Accepeted for publication, WACV, 2024

Adapting MIMO video restoration networks to low latency constraints
  V Dewil, Z Zheng, A Barral, L Raad, N Nicolas, I Cassagne, JM Morel, G Facciolo, B Galerne, P Arias 
  Accepeted for publication, BMVC, 2024
  pdf

Scaling Painting Style Transfer
  B Galerne, L Raad, J Lezama, JM Morel
  Computer Graphics Forum, 2024
  pdf web code

A Brief Analysis of iColoriT for Interactive Image Colorization
  R García, G Randall, L Raad
  Image Processing On Line, 2024
  pdf web demo

A Short Analysis of BigColor for Image Colorization
  R García, G Randall, L Raad
  Image Processing On Line, 2024
  pdf web demo

On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution
  NL Nguyen, J Anger, L Raad, B Galerne, G Facciolo
  IEEE International Geoscience and Remote Sensing Symposium, 2023
  pdf

Photorealistic Facial Wrinkles Removal
  M Sanchez, G Triginer, C Ballester, L Raad, E Ramon
  Proceedings of the Asian Conference on Computer Vision, 2022
  pdf

Influence of Color Spaces for Deep Learning Image Colorization
  A. Bugeau, R. Giraud, L. Raad
  Springer Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022
  pdf

Analysis of Different Losses for Deep Learning Image Colorization
  C. Ballester, A. Bugeau, H. Carrillo, M. Clément, R. Giraud, L. Raad, P. Vitoria
  arXiv preprint arXiv:2204.02980, 2022
  pdf

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

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 web demo code

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

patents
Surface covering production method using digital printing
  C. Maertens, R. Peres, L. Raad
  WO2017121825A1 (Application, January 2016)
  link

teaching
2024 - City University of Hong Kong

  A brief tour of texture synthesis and style transfer
  Thursday, November 14, 2024
  Slides: pdf

2024 - FIng, UdelaR

  Deep Learning for Vision (DLVIS)
  Introduction to Machine Learning
  Sistemas y Señales (SEYS)

2021-2023 - ESIEE Paris

  Short course on generative models
  Image analysis
  Optimization algorithms
  C Progamming
  Algorithmics
  Algorithmics and Python programming

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