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» Learning Iterative Image Reconstruction
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ACCV
2009
Springer
15 years 4 months ago
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
Yen-Lin Chen, Jinxiang Chai
DAGM
2008
Springer
14 years 11 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
ICML
2009
IEEE
15 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ECCV
2004
Springer
15 years 11 months ago
Automatic Non-rigid 3D Modeling from Video
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Lorenzo Torresani, Aaron Hertzmann
FGR
2000
IEEE
147views Biometrics» more  FGR 2000»
15 years 2 months ago
Hallucinating Faces
In this paper, we study face hallucination or synthesizing a high-resolution face image from a low-resolution input, with the help of a large collection of other highresolution fa...
Simon Baker, Takeo Kanade