3 papers
math.OC2020
Learning Discontinuous Piecewise Affine Fitting Functions using Mixed Integer Programming for Segmentation and Denoising
Ruobing Shen, Bo Tang, Leo Liberti +2
Piecewise affine functions are widely used to approximate nonlinear and discontinuous functions. However, most, if not all existing models only deal with fitting continuous functio…
cs.CV2018
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…
cs.CV2017
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…