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» Learning Generic Prior Models for Visual Computation
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CVPR
1999
IEEE
14 years 6 months ago
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
We analyze the problem of detecting a road target in background clutter and investigate the amount of prior (i.e. target specific) knowledge needed to perform this search task. Th...
Alan L. Yuille, James M. Coughlan
VISAPP
2008
13 years 6 months ago
Towards the Estimation of Conspicuity with Visual Priors
Traffic signs are designed to be clearly seen by drivers. However a little is known about the visual influence of the traffic sign environment on how it will be perceived. Computer...
Ludovic Simon, Jean-Philippe Tarel, Roland Bremond
ICCV
2011
IEEE
12 years 4 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
IROS
2009
IEEE
148views Robotics» more  IROS 2009»
13 years 11 months ago
A computer vision integration model for a multi-modal cognitive system
— We present a general method for integrating visual components into a multi-modal cognitive system. The integration is very generic and can work with an arbitrary set of modalit...
Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leon...
CVPR
2005
IEEE
14 years 6 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman