Search Results - "Bresson, X."

Scale Space Analysis and Active Contours for Omnidirectional Images by Bogdanova, I., Bresson, X., Thiran, J.-P., Vandergheynst, P.

“…A new generation of optical devices that generate images covering a larger part of the field of view than conventional cameras, namely catadioptric cameras, is…”
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Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts by Jonasson, L., Bresson, X., Thiran, J.-P., Wedeen, V.J., Hagmann, P.

“…We present a new five-dimensional (5-D) space representation of diffusion magnetic resonance imaging (dMRI) of high angular resolution. This 5-D space is…”
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An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features by Ciurte, A, Houhou, N, Nedevschi, S, Pica, A, Munier, F L, Thiran, J-Ph, Bresson, X, Cuadra, M Bach

“…Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose…”
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Nonlocal Mumford-Shah Regularizers for Color Image Restoration by Miyoun Jung, Bresson, X, Chan, T F, Vese, L A

“…We propose here a class of restoration algorithms for color images, based upon the Mumford-Shah (MS) model and nonlocal image information. The…”
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Efficient Algorithm for Level Set Method Preserving Distance Function by Estellers, V., Zosso, D., Rongjie Lai, Osher, S., Thiran, J., Bresson, X.

“…The level set method is a popular technique for tracking moving interfaces in several disciplines, including computer vision and fluid dynamics. However,…”
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Deep Geometric Matrix Completion: A New Way for Recommender Systems by Monti, Federico, Bronstein, Michael M., Bresson, X.

“…In the last years, Graph Convolutional Neural Networks gained popularity in the Machine Learning community for their capability of extracting local…”
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Enhanced Compressed Sensing Recovery With Level Set Normals by Estellers, Virginia, Thiran, J., Bresson, X.

“…We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image…”
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Geodesic Active Fields-A Geometric Framework for Image Registration by Zosso, D, Bresson, X, Thiran, J-P

“…In this paper we present a novel geometric framework called geodesic active fields for general image registration. In image registration, one looks for the…”
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Fast texture segmentation model based on the shape operator and active contour by Houhou, N., Thiran, J.-P., Bresson, X.

“…We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical…”
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White matter fiber tract segmentation in DT-MRI using geometric flows by Jonasson, Lisa, Bresson, Xavier, Hagmann, Patric, Cuisenaire, Olivier, Meuli, Reto, Thiran, Jean-Philippe

“…In this paper, we present a 3D geometric flow designed to segment the main core of fiber tracts in diffusion tensor magnetic resonance images. The fundamental…”
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Active Contours Based on Chambolle's Mean Curvature Motion by Bresson, X., Chan, T.F.

“…This paper proposes an algorithm to solve most of existing active contour problems based on the approach of mean curvature motion proposed by Chambolle (2004)…”
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Harmonic active contours for multichannel image segmentation by Estellers, V., Zosso, D., Bresson, X., Thiran, Jean-Philippe

“…We propose a segmentation method based on the geometric representation of images as surfaces embedded in a higher dimensional space, handling naturally…”
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A priori information in image segmentation: energy functional based on shape statistical model and image information by Bresson, X., Vandergheynst, P., Thiran, J.-P.

“…In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at…”
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Geometric moments in scale-spaces by Bresson, X., Vandergheynst, P., Thiran, J.-P.

“…We present a generalization of geometric moments in scale-spaces derived from the general heat diffusion equation, with a particular interest in minimax flow…”
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