28 citations · 28 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…
Multi-Task Predict-then-Optimize
Bo Tang, Elias B. Khalil
The predict-then-optimize framework arises in a wide variety of applications where the unknown cost coefficients of an optimization problem are first predicted based on contextual…
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Bo Tang, Elias B. Khalil
In deterministic optimization, it is typically assumed that all problem parameters are fixed and known. In practice, however, some parameters may be a priori unknown but can be est…
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…
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…