Search Results for author: Lama Affara

Found 3 papers, 0 papers with code

Supervised Convolutional Sparse Coding

no code implementations8 Apr 2018 Lama Affara, Bernard Ghanem, Peter Wonka

Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks.

Image Reconstruction Image Restoration

Constrained Convolutional Sparse Coding for Parametric Based Reconstruction of Line Drawings

no code implementations ICCV 2017 Sara Shaheen, Lama Affara, Bernard Ghanem

The process of drawing a line drawing can be approximated as the sparse spatial localization of a number of typical basic strokes, which in turn can be cast as a non-standard CSC model that considers the line drawing formation process from parametric curves.

Image Compression

Fast Convolutional Sparse Coding in the Dual Domain

no code implementations27 Sep 2017 Lama Affara, Bernard Ghanem, Peter Wonka

Convolutional sparse coding (CSC) is an important building block of many computer vision applications ranging from image and video compression to deep learning.

Video Compression

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