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GRASP Special Seminar: Svetlana Lazebnik, University of Illinois at Urbana-Champaign, “Towards Open-Universe Image Parsing with Broad Coverage”

November 4, 2013 @ 1:00 pm - 2:30 pm

Abstract: Joint work with J. TigheI will present our work on image parsing, or
labeling each pixel in an image with its semantic category (e.g., sky,
ground, tree, person, etc.). Our aim is to achieve broad coverage across
hundreds of object categories in large-scale datasets that can
continuously evolve. I will first describe our baseline nonparametric
region-based parsing system that can easily scale to datasets with tens
of thousands of images and hundreds of labels. Next, I will describe our
approach to combining this region-based system with per-exemplar
sliding window detectors to improve parsing performance on small object
classes, which achieves state-of-the-art results on several challenging
datasets. Time and strength remaining, I may mention new extensions just
submitted to CVPR.


- Learn More

Svetlana Lazebnik received her Ph.D. at UIUC
in May 2006 under the supervision of Prof. Jean Ponce.
From August 2007 to December 2011, she was an assistant professor at the University of North Carolina at Chapel Hill, and as of January 2012, has returned as faculty to UIUC. Lazebnik’s research specialty is computer vision.

The main themes of her research include object recognition and scene
interpretation, modeling and organization of large-scale photo
collections, and machine learning techniques for visual recognition

Lazebnik’s research is supported by the National Science Foundation under grants IIS 1228082 (project webpage) and IIS 0916829, Microsoft Research, Xerox, ARO, the DARPA Computer Science Study Group, and the Sloan Foundation.


November 4, 2013
1:00 pm - 2:30 pm
Event Category: