activity
20132026
most citedConstrained-CNN losses for weakly supervised segmentation

292 citations · 507 across the 24 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.CV2013

An Experimental Comparison of Trust Region and Level Sets

Lena Gorelick, Ismail BenAyed, Frank R. Schmidt +1

High-order (non-linear) functionals have become very popular in segmentation, stereo and other computer vision problems. Level sets is a well established general gradient descent f…

cs.CV2013★ 2 cited

Submodularization for Quadratic Pseudo-Boolean Optimization

Lena Gorelick, Yuri Boykov, Olga Veksler +2

Many computer vision problems require optimization of binary non-submodular energies. We propose a general optimization framework based on local submodular approximations (LSA). Un…

cs.CV2013★ 5 cited

Efficient Regularization of Squared Curvature

Claudia Nieuwenhuis, Eno Toeppe, Lena Gorelick +2

Curvature has received increased attention as an important alternative to length based regularization in computer vision. In contrast to length, it preserves elongated structures a…

cs.CV2013★ 1 cited

Joint optimization of fitting & matching in multi-view reconstruction

Hossam Isack, Yuri Boykov

Many standard approaches for geometric model fitting are based on pre-matched image features. Typically, such pre-matching uses only feature appearances (e.g. SIFT) and a large num…

cs.CV2013★ 1 cited

Simplifying Energy Optimization using Partial Enumeration

Carl Olsson, Johannes Ulen, Yuri Boykov +1

Energies with high-order non-submodular interactions have been shown to be very useful in vision due to their high modeling power. Optimization of such energies, however, is genera…