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NIPS
2008
15 years 4 months ago
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
Abhinav Gupta, Jianbo Shi, Larry S. Davis
CVPR
2009
IEEE
15 years 10 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
CVPR
2006
IEEE
16 years 5 months ago
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
John M. Winn, Jamie Shotton
ICIP
2003
IEEE
16 years 4 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
ICIP
1999
IEEE
16 years 4 months ago
3-D Image Models and Compression: Synthetic Hybrid or Natural Fit?
This paper highlights recent advancesin image compression aided by 3-D geometry information. As two examples, we present a model-aided video coder for efficient compression of hea...
Bernd Girod, Peter Eisert, Marcus A. Magnor, Eckeh...