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96
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ECCV
2004
Springer
16 years 28 days ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
PAMI
2012
13 years 1 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
ICIP
1995
IEEE
16 years 14 days ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng
CVPR
2009
IEEE
16 years 6 months ago
Frequency-tuned Salient Region Detection
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper, we introduce a meth...
Radhakrishna Achanta, Sheila S. Hemami, Francisco ...
99
Voted
NIPS
2004
15 years 13 days ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes