Search Results for author:
Found 3 papers, 0 papers with code
Low-Rank Modeling and Its Applications in Image Analysis
In this paper, we review the recent advance of low-rank modeling, the state-of-the-art algorithms, and related applications in image analysis.
Active Contours with Group Similarity
In this paper, we propose to use the group similarity of object shapes in multiple images as a prior to aid segmentation, which can be interpreted as an unsupervised approach of shape prior modeling.
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
To automate the analysis, object detection without a separate training phase becomes a critical task.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
