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» Neurocomputing for vision research
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115
Voted
CVPR
2009
IEEE
16 years 10 months ago
Discriminative Subvolume Search for Efficient Action Detection
Actions are spatio-temporal patterns which can be characterized by collections of spatio-temporal invariant features. Detection of actions is to find the re-occurrences (e.g. th...
Junsong Yuan (Northwestern University), Zicheng Li...
CVPR
2009
IEEE
16 years 10 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
140
Voted
ICCV
2009
IEEE
16 years 8 months ago
Absolute Scale in Structure from Motion from a Single Vehicle Mounted Camera by Exploiting Nonholonomic Constraints
In structure-from-motion with a single camera it is well known that the scene can be only recovered up to a scale. In order to compute the absolute scale, one needs to know the ...
Davide Scaramuzza, Friedrich Fraundorfer, Marc Pol...
119
Voted
CVPR
1998
IEEE
16 years 5 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...
CVPR
1999
IEEE
16 years 5 months ago
Model-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...