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» Object Recognition Using Segmentation for Feature Detection
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ICCV
2007
IEEE
16 years 7 months ago
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a...
Michael Jamieson, Afsaneh Fazly, Sven J. Dickinson...
148
Voted
BMVC
2001
15 years 7 months ago
Adaptive Visual System for Tracking Low Resolution Colour Targets
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Pakorn KaewTrakulPong, Richard Bowden
AMFG
2003
IEEE
152views Biometrics» more  AMFG 2003»
15 years 10 months ago
Fully Automatic Upper Facial Action Recognition
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
136
Voted
TIFS
2010
127views more  TIFS 2010»
15 years 3 months ago
Audio authenticity: detecting ENF discontinuity with high precision phase analysis
—This paper addresses a forensic tool used to assess audio authenticity. The proposed method is based on detecting phase discontinuity of the power grid signal; this signal, refe...
Daniel Patricio Nicolalde Rodríguez, Jos&ea...
CVPR
2010
IEEE
16 years 1 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...