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» Matchmaking for Structured Objects
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133
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CVPR
2008
IEEE
16 years 5 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
155
Voted
ICCV
2005
IEEE
16 years 5 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
147
Voted
CVPR
2006
IEEE
15 years 9 months ago
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera
We present a novel method to obtain a 3D Euclidean reconstruction of both the background and moving objects in a video sequence. We assume that, multiple objects are moving rigidl...
Chang Yuan, Gérard G. Medioni
124
Voted
OOPSLA
2004
Springer
15 years 9 months ago
Finding your cronies: static analysis for dynamic object colocation
This paper introduces dynamic object colocation, an optimization to reduce copying costs in generational and other incremental garbage collectors by allocating connected objects t...
Samuel Z. Guyer, Kathryn S. McKinley
168
Voted
CVIU
2010
429views more  CVIU 2010»
15 years 3 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...