Self-supervised Keypoint Correspondences for Multi-Person Pose
Estimation and Tracking in Videos

Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos

27 April 2020

Andreas Doering

Juergen Gall

Papers citing "Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos"

4 / 4 papers shown

Title
Learning semantical dynamics and spatiotemporal collaboration for human pose estimation in video Runyang Feng Haoming Chen 3DH 42 0 0 15 Feb 2025
Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed Urs Waldmann O. Johannsen Bastian Goldluecke 3DH 19 1 0 28 Nov 2023
WAIT: Feature Warping for Animation to Illustration video Translation using GANs Samet Hicsonmez Nermin Samet Fidan Samet Oguz Bakir Emre Akbas Pinar Duygulu DiffM VGen 21 0 0 07 Oct 2023
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives Alexander Mathis Steffen Schneider Jessy Lauer Mackenzie W. Mathis 17 166 0 01 Sep 2020