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ICCV
2009
IEEE
16 years 8 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson
116
Voted
ICCV
2009
IEEE
1434views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Texel-based Texture Segmentation
Given an arbitrary image, our goal is to segment all distinct texture subimages. This is done by discovering distinct, cohesive groups of spatially repeating patterns, called tex...
Sinisa Todorovic, Narendra Ahuja
ICCV
2009
IEEE
16 years 8 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
ICCV
2009
IEEE
16 years 8 months ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar
ICCV
2009
IEEE
16 years 8 months ago
Large Displacement Optical Flow Computation without Warping
We propose an algorithm for large displacement opti- cal flow estimation which does not require the commonly used coarse-to-fine warping strategy. It is based on a quadratic rel...
Frank Steinbrucker, Thomas Pock, Daniel Cremers