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» The case for crowd computing
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CVPR
2011
IEEE
13 years 7 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
WACV
2012
IEEE
12 years 6 months ago
Tools for richer crowd source image annotations
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines o...
Joshua Little, Austin Abrams, Robert Pless
CGF
2005
141views more  CGF 2005»
13 years 10 months ago
Survey of Real-Time Rendering Techniques for Crowds
Real-time rendering of photo-realistic humans is considerably outside the scope of current consumer-level computer hardware. There are many techniques, which attempt to bridge the...
G. Ryder, A. M. Day
AVSS
2006
IEEE
14 years 5 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...
AAAI
2012
12 years 1 months ago
Real-Time Collaborative Planning with the Crowd
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
Walter S. Lasecki, Jeffrey P. Bigham, James F. All...