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 - 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