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» Conditional Random Fields for Object Recognition
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CVPR
2005
IEEE
15 years 11 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
104
Voted
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins
AAAI
2008
14 years 11 months ago
CIGAR: Concurrent and Interleaving Goal and Activity Recognition
In artificial intelligence and pervasive computing research, inferring users' high-level goals from activity sequences is an important task. A major challenge in goal recogni...
Derek Hao Hu, Qiang Yang
ACL
2006
14 years 10 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning
TCSV
2008
102views more  TCSV 2008»
14 years 9 months ago
Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
Wen-Huang Cheng, Yung-Yu Chuang, Yin-Tzu Lin, Chi-...