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» Efficiently Selecting Regions for Scene Understanding
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VISSYM
2007
13 years 7 months ago
Viewpoint Selection for Intervention Planning
Viewpoint selection is crucial for medical intervention planning. The interactive exploration of a scene with 3d objects involves the systematic analysis of several anatomic struc...
Konrad Mühler, Mathias Neugebauer, Christian ...
CVPR
2010
IEEE
14 years 1 months ago
A Steiner Tree approach to efficient object detection
We propose an approach to speeding up object detection, with an emphasis on settings where multiple object classes are being detected. Our method uses a segmentation algorithm to ...
Olga Russakovsky, Quoc Le, Andrew Ng
ICCV
2005
IEEE
14 years 7 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
CVPR
2008
IEEE
14 years 7 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
CVPR
2010
IEEE
14 years 1 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta