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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CLOR
2006
15 years 1 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
GRAPHITE
2007
ACM
15 years 1 months ago
Visibility map for global illumination in point clouds
Point-sampled geometry has gained significant interest due to their simplicity. The lack of connectivity touted as a plus, however, creates difficulties in many operations like ge...
Rhushabh Goradia, Anil Kanakanti, Sharat Chandran,...
ICIP
2000
IEEE
15 years 11 months ago
Model-Aided Coding of Multi-Viewpoint Image Data
The paper presents a novel coding technique based on approximate geometry for images taken from arbitrary recording positions around a 3-D scene. Such data structures occur in ima...
Marcus A. Magnor, Peter Eisert, Bernd Girod
AIRS
2010
Springer
14 years 7 months ago
Learning to Rank with Supplementary Data
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
Wenkui Ding, Tao Qin, Xu-Dong Zhang
CVPR
2003
IEEE
15 years 12 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai