2 citations · 2 across the 5 of their papers we have counts for
5 papers
Connectivity-constrained Interactive Panoptic Segmentation
Ruobing Shen, Bo Tang, Andrea Lodi +2
We address interactive panoptic annotation, where one segment all object and stuff regions in an image. We investigate two graph-based segmentation algorithms that both enforce con…
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…
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…
An ILP Solver for Multi-label MRFs with Connectivity Constraints
Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed +3
Integer Linear Programming (ILP) formulations of Markov random fields (MRFs) models with global connectivity priors were investigated previously in computer vision, e.g., \cite{glo…
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…