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» PAMPAS: Real-Valued Graphical Models for Computer Vision
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CVPR
2011
IEEE
14 years 6 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
CVPR
2012
IEEE
13 years 12 days ago
Weak attributes for large-scale image retrieval
Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop...
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan ...
ACCV
1998
Springer
15 years 2 months ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...
ECCV
2010
Springer
14 years 8 months ago
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model
Abstract. This work focuses on characterizing scenery images. We semantically divide the objects in natural landscape scenes into background and foreground and show that the shapes...
Tamar Avraham, Michael Lindenbaum
RT
1997
Springer
15 years 2 months ago
Interactive Common Illumination for Computer Augmented Reality
: The advent of computer augmented reality (CAR), in which computer generated objects mix with real video images, has resulted in many interesting new application domains. Providin...
George Drettakis, Luc Robert, Sylvain Bougnoux