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» A Discriminative Framework for Modelling Object Classes
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ECCV
2008
Springer
14 years 11 months ago
View Synthesis for Recognizing Unseen Poses of Object Classes
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...
Silvio Savarese, Fei-Fei Li 0002
ECCV
2008
Springer
14 years 11 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
JOT
2007
99views more  JOT 2007»
13 years 9 months ago
A Framework to Specify Declarative Rules on Objects, Attributes and Associations in the Object Model
There are various mechanisms for creating an application object model. These mechanisms are used for modeling the application Meta model and the user models. Some of the mechanism...
C. Anantaram
CVPR
2008
IEEE
14 years 11 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler
CVPR
2010
IEEE
14 years 5 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce