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ECCV
2002
Springer
14 years 10 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
PAMI
2010
417views more  PAMI 2010»
13 years 6 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
FOCS
2008
IEEE
14 years 2 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
CVPR
2007
IEEE
14 years 10 months ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
CVPR
2010
IEEE
1182views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Real Time Motion Capture using a Single Time-Of-Flight Camera
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...