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» On the Generation of Spatiotemporal Datasets
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ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
CVPR
2007
IEEE
16 years 4 hour ago
Accurate Object Localization with Shape Masks
This paper proposes an approach for object class localization which goes beyond bounding boxes, as it also determines the outline of the object. Unlike most current localization m...
Marcin Marszalek, Cordelia Schmid
CVPR
2008
IEEE
16 years 3 hour ago
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
This paper presents a novel approach for tracking humans and objects under severe occlusion. We introduce a new paradigm for multiple hypotheses tracking, observe-and-explain, as ...
Michael S. Ryoo, Jake K. Aggarwal
CVPR
2008
IEEE
16 years 3 hour ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
ICDE
2007
IEEE
128views Database» more  ICDE 2007»
15 years 11 months ago
SD-Rtree: A Scalable Distributed Rtree
We propose a scalable distributed data structure (SDDS) called SD-Rtree. We intend our structure for point and window queries over possibly large spatial datasets distributed on c...
Cédric du Mouza, Philippe Rigaux, Witold Li...