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» Multiple Object Class Detection with a Generative Model
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CVPR
2012
IEEE
13 years 4 months ago
Teaching 3D geometry to deformable part models
Current object class recognition systems typically target 2D bounding box localization, encouraged by benchmark data sets, such as Pascal VOC. While this seems suitable for the de...
Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt...
CVPR
2011
IEEE
14 years 10 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
AUSAI
2008
Springer
15 years 4 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
ICSE
2005
IEEE-ACM
16 years 2 months ago
An adaptive object model with dynamic role binding
To achieve the goalof realizingobject adaptationto environments, a new role-based model Epsilon and a language EpsilonJ is proposed. In Epsilon, an environment is defined as a fie...
Tetsuo Tamai, Naoyasu Ubayashi, Ryoichi Ichiyama
CVPR
2008
IEEE
16 years 4 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson