2D Pose Estimation
2D Pose Estimation is a computer vision task that involves determining the spatial configuration of a subject's body joints or keypoints in two-dimensional image coordinates, distinguishing itself from 3D pose estimation by omitting depth information and operating solely within the image plane.
364
Publications
42.7K
Citations
1.1K
Authors
386
Institutions
Publications per year
2017–2026
257
Parents
364
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
Zhe Cao, Tomas Simon, Shih-En Wei et al. · 2017 · 7.3K citations
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler et al. · 2014 · 2.8K citations
A Simple Yet Effective Baseline for 3d Human Pose Estimation
Julieta Martínez, Rayat Hossain, Javier Romero et al. · 2017 · 1.5K citations
1–5 of 364
1.1K
6
h-index
6
h-index
6
h-index
Institut de Robòtica i Informàtica Industrial, Spain
6 publications · 744 citations
6
h-index
5
h-index
1–5 of 1.1K
386
Carnegie Mellon University
Pittsburgh, United States
12 h-index
31 publications
41.4K citations
ETH Zurich
Zurich, Switzerland
9 h-index
13 publications
1.4K citations
National University of Singapore
Singapore, Singapore
9 h-index
26 publications
2.1K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
8 h-index
14 publications
6K citations

Zhejiang University
Hangzhou, China
8 h-index
23 publications
1.4K citations

Peking University
Beijing, China
8 h-index
23 publications
3.7K citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
21 publications
1.3K citations
University of Michigan
Ann Arbor, United States
6 h-index
13 publications
876 citations
1–8 of 386
Repository · 43 publications · 2.4K citations
21
h-index
TPAMI · 18 publications · 6.3K citations
18
h-index
6 publications · 135 citations
7
h-index
Conference · 6 publications · 484 citations
6
h-index
5 publications · 459 citations
5
h-index
1–5