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CVPR
2012
IEEE
11 years 10 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
ISMAR
2003
IEEE
14 years 1 months ago
ID CAM: A Smart Camera for Scene Capturing and ID Recognition
An ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a be...
Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushi...
PAMI
2006
185views more  PAMI 2006»
13 years 7 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ECCV
2000
Springer
14 years 9 months ago
On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models
In principle, the recovery and reconstruction of a 3D object from its 2D view projections require the parameterisation of its shape structure and surface re ectance properties. Exp...
Sami Romdhani, Alexandra Psarrou, Shaogang Gong
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 23 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...