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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
CVPR
2004
IEEE
16 years 8 months ago
A GMM Parts Based Face Representation for Improved Verification through Relevance Adaptation
Motivated by the success of parts based representations in face detection we have attempted to address some of the problems associated with applying such a philosophy to the task ...
Simon Lucey, Tsuhan Chen
CVPR
2008
IEEE
16 years 8 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
ICCV
2007
IEEE
16 years 8 months ago
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...
Christopher Zach, Thomas Pock, Horst Bischof