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» Statistical Models of Appearance for Computer Vision
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CVPR
2007
IEEE
16 years 1 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
ICPR
2008
IEEE
15 years 6 months ago
Unsupervised writer style adaptation for handwritten word spotting
We propose a novel approach for writer adaptation in a word spotting task. The method exploits the fact that a semi-continuous hidden Markov model separates the word model paramet...
José A. Rodríguez, Florent Perronnin...
ICCV
2005
IEEE
15 years 5 months ago
Consistent Segmentation for Optical Flow Estimation
In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modelin...
C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang
CVPR
2008
IEEE
16 years 1 months ago
From appearance to context-based recognition: Dense labeling in small images
Traditionally, object recognition is performed based solely on the appearance of the object. However, relevant information also exists in the scene surrounding the object. As supp...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
CA
1999
IEEE
15 years 4 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe