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SIFT Flow: Dense Correspondence across Scenes and Its Applications

SIFT Flow: Dense Correspondence across Scenes and Its Applications. Ce Liu, Jenny Yuen, and Antonio Torralba, MIT PAMI 2011 (ECCV 2008) Presented by Han Hu, I-vision Lab. Ce Liu, Researcher at Microsoft Research New England Experience:

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801 views • 34 slides

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. CVPR2013 Oral. Outline. Introduction Approach Experiments Conclusions. Introduction. The problem of image parsing , or labeling each pixel in an image with its semantic category.

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495 views • 26 slides

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Sift flow - PowerPoint PPT Presentation

SIFT Flow: Dense Correspondence across Scenes and Its Applications

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors