|
74
|
Graph Cuts and Efficient N-D Image Segmentation
– Yuri Boykov, Gareth Funka-Lea
- 2006
|
|
1
|
Photoflux Maximizing Shapes
– Yuri Boykov, Victor Lempitsky
- 2006
|
|
20
|
Graph cut based image segmentation with connectivity priors
– Sara Vicente, Vladimir Kolmogorov, Carsten Rother
- 2008
|
|
23
|
Optimal surface segmentation in volumetric images -- a graph-theoretic approach
– Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
- 2006
|
|
20
|
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields
– Pushmeet Kohli, Philip H. S. Torr
|
|
|
Capacity Scaling for Graph Cuts in Vision
– Olivier Juan, Yuri Boykov
- 2007
|
|
|
Dynamic Graph Cuts and Their Applications in Computer Vision
– Pushmeet Kohli, Philip H. S. Torr
- 2010
|
|
|
Uncertainty Driven Multi-scale Energy Minimization
– Pushmeet Kohli, Victor Lempitsky, Carsten Rother
|
|
3
|
Image segmentation with ratio cut—extended version
– Song Wang, Jeffrey Mark Siskind
- 2002
|
|
24
|
Salient Closed Boundary Extraction with Ratio Contour
– Song Wang, Toshiro Kubota, Jeffrey Mark Siskind, Jun Wang
- 2005
|
|
5
|
Salient Boundary Detection using Ratio Contour
– Song Wang, Toshiro Kubota, Jeffrey Mark Siskind
- 2003
|
|
14
|
Global optimization for shape fitting
– Victor Lempitsky, Yuri Boykov
- 2007
|
|
33
|
What metrics can be approximated by geo-cuts, or global optimization of length/area and flux
– Vladimir Kolmogorov
- 2005
|
|
|
Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
– unknown authors
|
|
|
Multi-label Markov Random Fields as an Efficient and Effective Tool for Image Segmentation, Total
– Dorit S. Hochbaum
|
|
1
|
GRAPH BASED IMAGE SEGMENTATION
– Jingdong Wang
- 2007
|
|
|
Discrete Optimization Algorithms in Computer Vision ∗
– Pedro Felzenszwalb, Ramin Zabih
|
|
2
|
Dynamic Programming and Graph Algorithms in Computer Vision
– Pedro F. Felzenszwalb, Ramin Zabih
|
|
|
Geodesic Graph Cut for Interactive Image Segmentation
– Brian L. Price, Bryan Morse, Scott Cohen
|
