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ICCV
2009
IEEE
1038views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Combining efficient object localization and image classification
In this paper we present a combined approach for ob- ject localization and classification. Our contribution is two- fold. (a) A contextual combination of localization and clas- ...
Hedi Harzallah, Frederic Jurie, Cordelia Schmid
CVPR
2009
IEEE
14 years 12 months ago
Fast concurrent object localization and recognition
Object localization and classification are important problems in computer vision. However, in many applications, exhaustive search over all class labels and image locations is co...
Tom Yeh, John J. Lee, Trevor Darrell
PAMI
2008
270views more  PAMI 2008»
13 years 4 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
CVPR
2008
IEEE
14 years 6 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CVPR
2010
IEEE
14 years 1 months ago
Global and Efficient Self-Similarity for Object Classification and Detection
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In...
Thomas Deselaers, Vittorio Ferrari