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» On Learning Shapes from Shades
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CVPR
2011
IEEE
13 years 15 days ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
CHI
2008
ACM
14 years 9 months ago
Human-Currency Interaction: learning from virtual currency use in China
What happens when the domains of HCI design and money intersect? This paper presents analyses from an ethnographic study of virtual currency use in China to discuss implications f...
Scott D. Mainwaring, Yang Wang 0005
ECCV
2000
Springer
14 years 10 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ICCV
2009
IEEE
13 years 6 months ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri
ICPR
2002
IEEE
14 years 1 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis