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Learning to Find Unpaired Cross-Spectral Correspondences

Related publications (33)

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Nonrigid medical image registration

Francisco Javier Sanchez Castro

Over the last two decades medical image processing has become a fundamental tool in medicine, and brain imaging is a paradigm thereof. The fast development of the imaging acquisition techniques allows medical staff to dispose of a variety of data coming fr ...

EPFL2008

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content ...

2007

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...

École Polytechnique Fédérale de Lausanne2007

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

IDIAP2007

Learning the structure of image collections with latent aspect models

Florent Monay Michaud

EPFL2007

Behavioral priors for detection and tracking of pedestrians in video sequences

Michel Bierlaire, Jean-Philippe Thiran, Gianluca Antonini

In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to guarantee flexibility and robustness, necessary to have reliability in comple ...

2006

Modeling semantic aspects for cross-media image indexing

Daniel Gatica-Perez, Florent Monay Michaud

IDIAP2005

Eigenregions for Image Classification

Sabine Süsstrunk

For certain databases and classification tasks, analyzing images based on region features instead of image features results in more accurate classifications. We introduce eigenregions, which are geometrical features that encompass area, location and shape ...

Institute of Electrical and Electronics Engineers2004

Region-based image classification for automatic color correction

Sabine Süsstrunk

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but ...

2003

On Automatic Annotation of Images with Latent Space Models

Daniel Gatica-Perez, Florent Monay Michaud

Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of text and image features have shown encouraging results, but their performance ...

IDIAP2003