34 citations · 59 across the 9 of their papers we have counts for
3 papers · 1 filter
Discrete Potts Model for Generating Superpixels on Noisy Images
Ruobing Shen, Xiaoyu Chen, Xiangrui Zheng +1
Many computer vision applications, such as object recognition and segmentation, increasingly build on superpixels. However, there have been so far few superpixel algorithms that sy…
A First Derivative Potts Model for Segmentation and Denoising Using ILP
Ruobing Shen, Gerhard Reinelt, Stéphane Canu
Unsupervised image segmentation and denoising are two fundamental tasks in image processing. Usually, graph based models such as multicut are used for segmentation and variational…
Higher-order Segmentation via Multicuts
Joerg Hendrik Kappes, Markus Speth, Gerhard Reinelt +1
Multicuts enable to conveniently represent discrete graphical models for unsupervised and supervised image segmentation, in the case of local energy functions that exhibit symmetri…