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Putting People in their Place: Monocular Regression of 3D People in
  Depth
v1v2v3 (latest)

Putting People in their Place: Monocular Regression of 3D People in Depth

15 December 2021
Yu Sun
Wu Liu
Qian Bao
Yili Fu
Tao Mei
Michael J. Black
    3DH
ArXiv (abs)PDFHTML

Papers citing "Putting People in their Place: Monocular Regression of 3D People in Depth"

5 / 55 papers shown
Title
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta
Srinath Sridhar
Oleksandr Sotnychenko
Helge Rhodin
Mohammad Shafiei
Hans-Peter Seidel
Weipeng Xu
Dan Casas
Christian Theobalt
3DH
70
817
0
03 May 2017
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a
  Single Image
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
Federica Bogo
Angjoo Kanazawa
Christoph Lassner
Peter V. Gehler
Javier Romero
Michael J. Black
3DH
111
1,584
0
27 Jul 2016
Single-Image Depth Perception in the Wild
Single-Image Depth Perception in the Wild
Weifeng Chen
Z. Fu
Dawei Yang
Jia Deng
MDE
106
520
0
13 Apr 2016
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose
  Estimation
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
L. Pishchulin
Eldar Insafutdinov
Siyu Tang
Bjoern Andres
Mykhaylo Andriluka
Peter V. Gehler
Bernt Schiele
63
975
0
20 Nov 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
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