DeepLabCut: Markerless Pose Estimation Of User-Defined Body Parts With Deep Learning

·2018·DOI

Engineering and Technology

Computer Vision and Imaging

Human-Robot Interaction and Motion

3D Pose Estimation Techniques

Role in the Field

Neutralin Engineering and Technology

Neutralin Computer Vision and Imaging

Neutralin Human-Robot Interaction and Motion

Neutralin 3D Pose Estimation Techniques

Abstract

Citations

3,526

Year

2018

PageRank

3.7 / 10

Relative influence (log-scaled)

Related Papers

10 of 10 papers

NTU RGB+D 120: A Large-Scale Benchmark For 3D Human Activity Understanding

·2020·986 citations

End-to-End Recovery Of Human Shape And Pose

·2018·1,180 citations

Simple Baselines For Human Pose Estimation And Tracking

·2018·1,148 citations

DensePose: Dense Human Pose Estimation In The Wild

·2018·779 citations

A Simple Yet Effective Baseline For 3D Human Pose Estimation

·2017·967 citations

NTU RGB+D: A Large Scale Dataset For 3D Human Activity Analysis

·2016·1,922 citations

Human3.6M: Large Scale Datasets And Predictive Methods For 3D Human Sensing In Natural Environments

·2014·2,234 citations

Automatic Generation And Detection Of Highly Reliable Fiducial Markers Under Occlusion

·2014·1,797 citations

HumanEva: Synchronized Video And Motion Capture Dataset And Baseline Algorithm For Evaluation Of Articulated Human Motion

·2009·830 citations

Pfinder: Real-Time Tracking Of The Human Body

·1997·2,862 citations