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» Matchmaking for Structured Objects
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152
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NIPS
2004
15 years 4 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
147
Voted
ICCV
2007
IEEE
16 years 4 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
131
Voted
CVPR
2010
IEEE
15 years 11 months ago
Cascade Object Detection with Deformable Part Models
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...
102
Voted
AOSD
2003
ACM
15 years 7 months ago
Model-view-controller and object teams: a perfect match of paradigms
From the early days of object-oriented programming, the model-view-controller paradigm has been pursued for a clear design which separates different responsibilities within an in...
Matthias Veit, Stephan Herrmann
113
Voted
SSDBM
1998
IEEE
107views Database» more  SSDBM 1998»
15 years 6 months ago
Discrete Object Detection and Motion Registration Based on a Data Management Approach
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...
Hans Hinterberger, Bettina Bauer-Messmer