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CVPR
2009
IEEE
16 years 5 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
CVPR
2009
IEEE
16 years 5 months ago
Building a database of 3D scenes from user annotations
In this paper, we wish to build a high quality database of images depicting scenes, along with their real-world threedimensional (3D) coordinates. Such a database is useful for ...
Antonio B. Torralba, Bryan C. Russell
ICCV
2007
IEEE
15 years 12 months ago
Synthetic Aperture Tracking: Tracking through Occlusions
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...
ICCV
2001
IEEE
15 years 12 months ago
Stripe Boundary Codes for Real-Time Structured-Light Range Scanning of Moving Objects
We present a novel approach to real-time structured light range scanning. After an analysis of the underlying assumptions of existing structured light techniques, we derive a new ...
Olaf A. Hall-Holt, Szymon Rusinkiewicz
ECCV
2006
Springer
15 years 12 months ago
Adapted Vocabularies for Generic Visual Categorization
Several state-of-the-art Generic Visual Categorization (GVC) systems are built around a vocabulary of visual terms and characterize images with one histogram of visual word counts....
Florent Perronnin, Christopher R. Dance, Gabriela ...
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