no code implementations • 6 May 2019 • Lena Gorelick, Olga Veksler
After our CRF Simulator is trained, it can be directly incorporated as part of any larger CNN architecture, enabling a seamless end-to-end training.
no code implementations • ECCV 2018 • Hossam Isack, Lena Gorelick, Karin Ng, Olga Veksler, Yuri Boykov
As shown in the paper, for many forms of convexity our regularization model is significantly more descriptive for any given k. Our shape prior is useful in practice, e. g. in biomedical applications, and its optimization is robust to local minima.
no code implementations • CVPR 2017 • Lena Gorelick, Yuri Boykov, Olga Veksler
First, unlike LSA-AUX which selects auxiliary functions based solely on the current solution, we propose to incorporate several additional criteria.
no code implementations • CVPR 2014 • Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong
We propose a general optimization framework based on local submodular approximations (LSA).
no code implementations • CVPR 2014 • Claudia Nieuwenhuis, Eno Toeppe, Lena Gorelick, Olga Veksler, Yuri Boykov
Curvature has received increasing attention as an important alternative to length based regularization in computer vision.
no code implementations • 8 Nov 2013 • Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong
We propose a general optimization framework based on local submodular approximations (LSA).
no code implementations • 8 Nov 2013 • Lena Gorelick, Ismail BenAyed, Frank R. Schmidt, Yuri Boykov
High-order (non-linear) functionals have become very popular in segmentation, stereo and other computer vision problems.
no code implementations • 7 Nov 2013 • Claudia Nieuwenhuis, Eno Toeppe, Lena Gorelick, Olga Veksler, Yuri Boykov
Curvature has received increased attention as an important alternative to length based regularization in computer vision.
no code implementations • CVPR 2013 • Ismail Ben Ayed, Lena Gorelick, Yuri Boykov
From these general-form bounds, we state various non-linear problems as the optimization of auxiliary functionals by graph cuts.
no code implementations • CVPR 2013 • Lena Gorelick, Frank R. Schmidt, Yuri Boykov
In this paper we propose a Fast Trust Region (FTR) approach for optimization of segmentation energies with nonlinear regional terms, which are known to be challenging for existing algorithms.