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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 11 days ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
CVPR
2012
IEEE
11 years 9 months ago
Semantic segmentation using regions and parts
We address the problem of segmenting and recognizing objects in real world images, focusing on challenging articulated categories such as humans and other animals. For this purpos...
Pablo Arbelaez, Bharath Hariharan, Chunhui Gu, Sau...
CVPR
2010
IEEE
14 years 3 months ago
Layered Object Detection for Multi-Class Segmentation
We formulate a layered model for object detection and multi-class segmentation. Our system uses the output of a bank of object detectors in order to define shape priors for suppo...
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlk...
CORIA
2010
13 years 8 months ago
Phrases Visuelles pour l'annotation automatique d'images
ABSTRACT. Photographic images annotation is a complex problem. Indeed, the visual characteristics of objects of a class vary with the considered instance and the shooting condition...
Rami Albatal, Philippe Mulhem, Yves Chiaramella
ICCV
2011
IEEE
12 years 7 months ago
The Truth about Cats and Dogs
Template-based object detectors such as the deformable parts model of Felzenszwalb et al. [11] achieve state-ofthe-art performance for a variety of object categories, but are stil...
Omkar M Parkhi, Andrea Vedaldi, C. V. Jawahar, And...