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

Related publications (32)

Fatigue life modeling and prediction methods for composite materials and structures—Past, present, and future prospects

This chapter aims to provide an overview of the fatigue life modeling and prediction methods for composite materials and structures, recalling methods used in the past, discovering the present status, and attempting to foresee future trends. ...

Elsevier2019

rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Andreas Scheck, Jaume Bonet Martinez, Fabian Sesterhenn

BackgroundLarge-scale datasets of protein structures and sequences are becoming ubiquitous in many domains of biological research. Experimental approaches and computational modelling methods are generating biological data at an unprecedented rate. The deta ...

2019

Inferring interaction partners from protein sequences

Anne-Florence Raphaëlle Bitbol

Specific protein-protein interactions are crucial in the cell, both to ensure the formation and stability of multiprotein complexes and to enable signal transduction in various pathways. Functional interactions between proteins result in coevolution betwee ...

Proceedings of the National Academy of Sciences2016

How Structural and Physicochemical Determinants Shape Sequence Constraints in a Functional Enzyme

Matteo Dal Peraro, Luciano Andres Abriata

The need for interfacing structural biology and biophysics to molecular evolution is being increasingly recognized. One part of the big problem is to understand how physics and chemistry shape the sequence space available to functional proteins, while sati ...

Public Library Science2015

cgDNA: a software package for the prediction of sequence-dependent coarse-grain free energies of B-form DNA

John Maddocks, Daiva Petkeviciute, Marco Pasi

cgDNA is a package for the prediction of sequence-dependent configuration-space free energies for B-form DNA at the coarse-grain level of rigid bases. For a fragment of any given length and sequence, cgDNA calculates the configuration of the associated fre ...

Oxford Univ Press2014

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Michaël Unser, Stamatios Lefkimmiatis

We introduce a generic convex energy functional that is suitable for both grayscale and vector-valued images. Our functional is based on the eigenvalues of the structure tensor, therefore it penalizes image variation at every point by taking into account t ...

Springer2013

Passing to the limit in maximal slope curves: from a regularized Perona–Malik equation to the total variation flow

Maria Colombo

We prove that solutions of a mildly regularized Perona–Malik equation converge, in a slow time scale, to solutions of the total variation flow. The convergence result is global-in-time, and holds true in any space dimension. The proof is based on the gener ...

2012

Non-Intrusive Detection of Rotating-Stall Occurring in the Turbine Quadrant of Francis-Type Pump-Turbines

Francisco Botero

The so-called rotating-stall (RS) is an undesired hydrodynamic phenomenon affecting the regular function of Francis-type pump-turbines. Stronger noise and vibration increase the risk of catastrophic failures and economic loses. In the past, such phenomenon ...

EAFIT University2012

RANSAC-based Enhancement in Drug Concentration Prediction Using Support Vector Machine

Giovanni De Micheli, Alena Simalatsar, Wenqi You Dubout

Training Support Vector Machines (SVMs) to predict drugs concentrations is often difficult because of the high level of noise in the training data, due to various kinds of measurement errors. We apply RANdom SAmple Consensus (RANSAC) algorithm in this pape ...

2012

Image Denoising in Mixed Poisson-Gaussian Noise

Michaël Unser, Thierry Blu, Florian Luisier

We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson-Gaussian noise. We express the denoising process as a linear expansion of thresholds ...

Institute of Electrical and Electronics Engineers2011

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