145 citations · 303 across the 28 of their papers we have counts for
7 papers · 1 filter
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures
Xian Wei, Hao Shen, Martin Kleinsteuber
Video representation is an important and challenging task in the computer vision community. In this paper, we assume that image frames of a moving scene can be modeled as a Linear…
Co-Sparse Textural Similarity for Image Segmentation
Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe +1
We propose an algorithm for segmenting natural images based on texture and color information, which leverages the co-sparse analysis model for image segmentation within a convex mu…
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Rémi Gribonval, Rodolphe Jenatton, Francis Bach +2
Many modern tools in machine learning and signal processing, such as sparse dictionary learning, principal component analysis (PCA), non-negative matrix factorization (NMF), -me…
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution
Martin Kiechle, Simon Hawe, Martin Kleinsteuber
High-resolution depth maps can be inferred from low-resolution depth measurements and an additional high-resolution intensity image of the same scene. To that end, we introduce a b…
pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video
Florian Seidel, Clemens Hage, Martin Kleinsteuber
An increasing number of methods for background subtraction use Robust PCA to identify sparse foreground objects. While many algorithms use the L1-norm as a convex relaxation of the…
Analysis Based Blind Compressive Sensing
Julian Wörmann, Simon Hawe, Martin Kleinsteuber
In this work we address the problem of blindly reconstructing compressively sensed signals by exploiting the co-sparse analysis model. In the analysis model it is assumed that a si…