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BMVC
2010
15 years 41 min ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
COMPLEXITY
2007
151views more  COMPLEXITY 2007»
15 years 1 months ago
From complex conflicts to stable cooperation: Cases in environment and security
: Conflict is a dynamic and complex form of human interaction, often emerging from incompatible actions, values and goals, and consuming a considerable amount of resources. Conflic...
Jürgen Scheffran, Bruce Hannon
DAGM
2006
Springer
15 years 5 months ago
Cross-Articulation Learning for Robust Detection of Pedestrians
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
Edgar Seemann, Bernt Schiele
CVPR
2001
IEEE
16 years 4 months ago
Learning Flexible Sprites in Video Layers
See a PPT file with videos at www.research.microsoft.com/users/jojic/FlexiblesSprites.htm We propose a technique for automatically learning layers of "flexible sprites" ...
Nebojsa Jojic, Brendan J. Frey
CVPR
2008
IEEE
16 years 4 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...