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We aim to color greyscale images automatically, without any manual intervention. The color proposition could then be interactively corrected by user-provided color landmarks if necessary. Automatic… (More)

- Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
- Foundations of Computational Mathematics
- 2005

This paper proposes a framework for dealing with several problems related to the analysis of shapes. Two related such problems are the definition of the relevant set of shapes and that of defining a… (More)

- Guillaume Charpiat, Pierre Maurel, Jean-Philippe Pons, Renaud Keriven, Olivier D. Faugeras
- International Journal of Computer Vision
- 2006

This paper tackles an important aspect of the variational problem underlying active contours: optimization by gradient flows. Classically, the definition of a gradient depends directly on the choice… (More)

- Matthias Hofmann, Florian Steinke, +6 authors Bernd J. Pichler
- Journal of nuclear medicine : official…
- 2008

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For quantitative PET information, correction of tissue photon attenuation is mandatory. Generally in conventional PET, the attenuation map is obtained from a transmission scan, which uses… (More)

- Guillaume Charpiat, Renaud Keriven, Jean-Philippe Pons, Olivier D. Faugeras
- Tenth IEEE International Conference on Computer…
- 2005

This paper tackles an important aspect of the variational problems involving active contours, which has been largely overlooked so far: the optimization by gradient flows. Classically, the definition… (More)

This paper addresses the problem of appearance matching across disjoint camera views. Signi cant appearance changes, caused by variations in view angle, illumination and object pose, make the problem… (More)

Convolutional neural networks (CNNs) have received increasing attention over the last few years. They were initially conceived for image categorization, i.e., the problem of assigning a semantic… (More)

Automatic image colorization consists in adding colors to a new greyscale image without any user intervention. The problem, stated like this, is ill-posed, in the sense that one cannot guess the… (More)

- Yann Ollivier, Guillaume Charpiat
- ArXiv
- 2015

We introduce the “NoBackTrack” algorithm to train the parameters of dynamical systems such as recurrent neural networks. This algorithm works in an online, memoryless setting, thus requiring no… (More)

- Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven
- Tenth IEEE International Conference on Computer…
- 2005

We propose a new approach to deal with the first and second order statistics of a set of images. These statistics take into account the images characteristic deformations and their variations in… (More)