DiveNet: Dive Action Localization and Physical Pose Parameter Extraction for High Performance Training-Reference-Cited by-同舟云学术

DiveNet: Dive Action Localization and Physical Pose Parameter Extraction for High Performance Training

Author:

Murthy Pramod¹^ORCID,Taetz Bertram²^ORCID,Lekhra Arpit¹^ORCID,Stricker Didier¹

Affiliation:

1. Department of Augmented Vision, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany

2. Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

Funder

ederal Ministry of Education and Research (BMBF), Germany, through the Project DECODE

German Swimming Federation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference62 articles.

2. Temporal representation learning on monocular videos for 3D human pose estimation;honari;IEEE Trans Pattern Anal Mach Intell,2023

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