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» Multiple Kernels for Object Detection
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CVPR
2010
IEEE
14 years 5 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet
JVCIR
2010
180views more  JVCIR 2010»
13 years 7 months ago
Geometric attraction-driven flow for image segmentation and boundary detection
Noble forces in image segmentation based on active contours models are proposed for capturing objects in the image. Contemplating the common functionality of forces in previous ac...
Jooyoung Hahn, Chang-Ock Lee
CVPR
2007
IEEE
14 years 11 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
CVPR
2007
IEEE
14 years 11 months ago
Image representations beyond histograms of gradients: The role of Gestalt descriptors
Histograms of orientations and the statistics derived from them have proven to be effective image representations for various recognition tasks. In this work we attempt to improve...
Stanley M. Bileschi, Lior Wolf
PAMI
2006
182views more  PAMI 2006»
13 years 8 months ago
Multicue HMM-UKF for Real-Time Contour Tracking
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
Yunqiang Chen, Yong Rui, Thomas S. Huang