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» A Model of Visual Adaptation for Realistic Image Synthesis
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CVPR
2011
IEEE
13 years 4 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
VISUALIZATION
2005
IEEE
14 years 2 months ago
Scale-Invariant Volume Rendering
As standard volume rendering is based on an integral in physical space (or “coordinate space”), it is inherently dependent on the scaling of this space. Although this dependen...
Martin Kraus
ICIP
2003
IEEE
14 years 10 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
CG
2004
Springer
13 years 9 months ago
Illumination-dependent texture
In this paper, we propose an image-based texture model called IlluminationDependent Texture(IDT), for realisticly rendering objects covered with 3D texture under low-frequency ill...
Chunhui Mei, Fuli Wu, Jiaoying Shi
ICCV
2011
IEEE
12 years 9 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell