lara raad cisa

about me

I am an associate professor (Maîtresse de Conférences) at ESIEE Paris, France. Previously, I spent one year as a Postdoc reseacher 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 obtained my Ph.D. from 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.


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


Surface covering production method using digital printing C. Maertens, R. Peres, L. Raad WO2017121825A1 (Application, January 2016) link
2021-2022 - ESIEE Paris 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