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LabelMe: a database and web-based tool for image annotation
(2005-09-08)
Research in object detection and recognition in cluttered scenes requires large image collections with ground truth labels. The labels should provide information about the object classes present in each image, as well as ...
Contextual models for object detection using boosted random fields
(2004-06-25)
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and ...
Contextual Influences on Saliency
(2004-04-14)
This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
Sharing visual features for multiclass and multiview object detection
(2004-04-14)
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...