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Segmentation of Natural Images Using Scale-Space Representations: A Linear and a Non-Linear Approach

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Segmentation of Natural Images Using Scale-Space Representations: A Linear and a Non-Linear Approach

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A generic diffusion-based approach for 3D human pose prediction in the wild

Non-Linear Behaviors Of Airy Type On Scales Space From A Fractal Perspective

Apparent diffusion coefficient measured by diffusion MRI of moving and deforming domains

Effective diffusion tensor measured by diffusion MRI of moving and deforming domains

Model order reduction for large-scale structures with local nonlinearities

Mean-Field methods for Structured Deep-Learning in Computer Vision

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures

Mumford-Shah and Potts Regularization for Manifold-Valued Data

Effective diffusion tensor measured by diffusion MRI of moving and deforming domains

A generic diffusion-based approach for 3D human pose prediction in the wild

Large-Scale Image Segmentation with Convolutional Networks

Mean-Field methods for Structured Deep-Learning in Computer Vision

Non-Linear Behaviors Of Airy Type On Scales Space From A Fractal Perspective

Apparent diffusion coefficient measured by diffusion MRI of moving and deforming domains

Mumford-Shah and Potts Regularization for Manifold-Valued Data

Large-Scale Image Segmentation with Convolutional Networks

Model order reduction for large-scale structures with local nonlinearities

Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures