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ICCV
2009
IEEE
14 years 10 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth
CVPR
2003
IEEE
14 years 7 months ago
Shedding Light on the Weather
Virtually all methods in image processing and computer vision, for removing weather effects from images, assume single scattering of light by particles in the atmosphere. In reali...
Srinivasa G. Narasimhan, Shree K. Nayar
MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 6 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
SIGGRAPH
1999
ACM
13 years 9 months ago
Environment Matting and Compositing
This paper introduces a new process, environment matting, which captures not just a foreground object and its traditional opacity matte from a real-world scene, but also a descrip...
Douglas E. Zongker, Dawn M. Werner, Brian Curless,...
APGV
2004
ACM
176views Visualization» more  APGV 2004»
13 years 10 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...