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» Learning Object Shape: From Drawings to Images
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MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 4 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
139
Voted
ICCV
2009
IEEE
15 years 2 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...
VISUALIZATION
2002
IEEE
15 years 9 months ago
Geometric Surface Smoothing via Anisotropic Diffusion of Normals
This paper introduces a method for smoothing complex, noisy surfaces, while preserving (and enhancing) sharp, geometric features. It has two main advantages over previous approach...
Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, S...
VMV
2003
173views Visualization» more  VMV 2003»
15 years 6 months ago
Improved Hardware-Accelerated Visual Hull Rendering
The visual hull is an efficient shape approximation for the purpose of reconstructing and visualizing dynamic objects. Recently, rapid progress in graphics hardware development h...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel