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most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

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Showing 2013 · cs.CVShow all

7 papers · 2 filters

cs.CV2013

Describing Textures in the Wild

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +2

Patterns and textures are defining characteristics of many natural objects: a shirt can be striped, the wings of a butterfly can be veined, and the skin of an animal can be scaly.…

cs.CV2013

Second order scattering descriptors predict fMRI activity due to visual textures

Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi +2

Second layer scattering descriptors are known to provide good classification performance on natural quasi-stationary processes such as visual textures due to their sensitivity to h…

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…

cs.CV2013★ 6 cited

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning

Jian Cheng, Tianzi Jiang, Rachid Deriche +2

Compressed Sensing (CS) takes advantage of signal sparsity or compressibility and allows superb signal reconstruction from relatively few measurements. Based on CS theory, a suitab…

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…

cs.CV2013

Automatic Parameter Adaptation for Multi-object Tracking

Duc Phu Chau, Monique Thonnat, François Bremond

Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper presents a learning approac…