Physical representation learning and parameter identification from video using differentiable physics
type: Item
instance of: scholarly article
title: Physical representation learning and parameter identification from video using differentiable physics
zbMATH Open document ID: 1489.68326
author: Rama Krishna Kandukuri
author: Jan Achterhold
author: Joerg Stueckler
author: Michael Möller
published in: International Journal of Computer Vision
publication date: 2022-03-18T00:00:00Z
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7493278
zbMATH Keywords: physical scene understanding
zbMATH Keywords: video representation learning
zbMATH Keywords: differentiable physics
describes a project that uses: CVXGEN
describes a project that uses: OptNet
describes a project that uses: Open Dynamics Engine
MaRDI profile type: Publication
full work available at URL: s11263-021-01493-5
OpenAlex ID: W3205069776
cites work: Formulating dynamic multi-rigid-body contact problems with friction as solvable linear complementarity problems
cites work: CVXGEN: a code generator for embedded convex optimization
cites work: Rigid-Body Dynamics with Friction and Impact
DOI: 10.1007/S11263-021-01493-5
description: scientific article; zbMATH DE number 7493278