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» Learning Object Shape: From Drawings to Images
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ECCV
2008
Springer
16 years 8 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis
ECCV
2004
Springer
16 years 8 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
MEMICS
2010
15 years 1 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek
IJCV
2008
151views more  IJCV 2008»
15 years 6 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
ICAT
2003
IEEE
15 years 12 months ago
Extracting Rheological Properties of Deformable Objects with Haptic Vision
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic constru...
Naoki Ueda, Kiyotaka Kushihama, Shin-iti Hirai, Hi...