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» Multiple Object Class Detection with a Generative Model
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121
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ICPR
2006
IEEE
16 years 3 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
ECCV
2008
Springer
16 years 4 months ago
A Probabilistic Cascade of Detectors for Individual Object Recognition
A probabilistic system for recognition of individual objects is presented. The objects to recognize are composed of constellations of features, and features from a same object shar...
Pierre Moreels, Pietro Perona
ICMCS
2005
IEEE
218views Multimedia» more  ICMCS 2005»
15 years 8 months ago
A Mid-level Visual Concept Generation Framework for Sports Analysis
The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-...
Xiaofeng Tong, Lingyu Duan, Hanqing Lu, Changsheng...
109
Voted
ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
15 years 9 months ago
Interactive learning of the acoustic properties of household objects
— Human beings can perceive object properties such as size, weight, and material type based solely on the sounds that the objects make when an action is performed on them. In ord...
Jivko Sinapov, Mark Wiemer, Alexander Stoytchev
CVPR
2009
IEEE
16 years 9 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher