Fetching the paper…
Reading the bibliography…
This paper addresses the problem of 3D human pose estimation in the wild.
Fast pose estimation with parameter-sensitive hashing
G. Shakhnarovich, P. A. Viola, and T. Darrell · 2003
Earlier work this paper cites.
Recovering 3D human pose from monocular images
A. Agarwal and B. Triggs · 2006
Earlier work this paper cites.
Detecting humans via their pose
A. Bissacco, M.-H. Yang, and S. Soatto · 2006
Earlier work this paper cites.
Character animation from 2D pictures and 3D motion data
A. Hornung, E. Dekkers, and L. Kobbelt · 2007
Earlier work this paper cites.
A mixed generative-discriminative framework for pedestrian classification
M. Enzweiler and D. M. Gavrila · 2008
Earlier work this paper cites.
Relevant feature selection for human pose estimation and localization in cluttered images
R. Okada and S. Soatto · 2008
Earlier work this paper cites.
Poselets: Body part detectors trained using 3D human pose annotations
L. Bourdev and J. Malik · 2009
Earlier work this paper cites.
Twin Gaussian processes for structured prediction
L. Bo and C. Sminchisescu · 2010
Earlier work this paper cites.
Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
Earlier work this paper cites.
Hands in action: real-time 3D reconstruction of hands in interaction with objects
J. Romero, H. Kjellstrom, and D. Kragic · 2010
Earlier work this paper cites.
Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
Earlier work this paper cites.
Real-time human pose recognition in parts from single depth images
J. Shotton, A. W. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Articulated people detection and pose estimation: Reshaping the future
L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele · 2012
Earlier work this paper cites.
Fast human pose detection using randomized hierarchical cascades of rejectors
G. Rogez, J. Rihan, C. Orrite, and P. Torr · 2012
Earlier work this paper cites.
Single image 3D human pose estimation from noisy observations
E. Simo-Serra, A. Ramisa, G. Alenyà, C. Torras, and F. Moreno-Noguer · 2012
Cited alongside, same era.
A joint model for 2D and 3D pose estimation from a single image
E. Simo-Serra, A. Quattoni, C. Torras, and F. Moreno-Noguer · 2013
Cited alongside, same era.
2D human pose estimation: New benchmark and state-of- the-art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
Cited alongside, same era.
Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. L. Yuille · 2014
Cited alongside, same era.
Pose locality constrained representation for 3D human pose reconstruction
X. Fan, K. Zheng, Y. Zhou, and S. Wang · 2014
Cited alongside, same era.
Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments
Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
Later among the works it cites.
Maximum-margin structured learning with deep networks for 3D human pose estimation
S. Li, W. Zhang, and A. B. Chan · 2015
Later among the works it cites.
Articulated pose estimation with tiny synthetic videos
D. Park and D. Ramanan · 2015
Later among the works it cites.
Learning deep object detectors from 3D models
X. Peng, B. Sun, K. Ali, and K. Saenko · 2015
Later among the works it cites.
First-person pose recognition using egocentric workspaces
G. Rogez, J. Supancic, and D. Ramanan · 2015
Later among the works it cites.
Render for CNN: viewpoint estimation in images using CNNs trained with rendered 3D model views
H. Su, C. Ruizhongtai Qi, Y. Li, and L. J. Guibas · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
Cited alongside, same era.
Depth sweep regression forests for estimating 3D human pose from images
I. Kostrikov and J. Gall · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Joint training of a convolutional network and a graphical model for human pose estimation
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
Cited alongside, same era.
DeepPose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Cited alongside, same era.
Robust estimation of 3D human poses from a single image
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao · 2014
Cited alongside, same era.
Spatio-temporal matching for human detection in video
F. Zhou and F. De la Torre · 2014
Cited alongside, same era.
3D shapenets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
Later among the works it cites.
The stitched puppet: A graphical model of 3D human shape and pose
S. Zuffi and M. J. Black · 2015
Later among the works it cites.
Reading text in the wild with convolutional neural networks
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2016
Closest in time.
Deepcut: Joint subset partition and labeling for multi person pose estimation
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. V. Gehler, and B. Schiele · 2016
Closest in time.
Direct prediction of 3d body poses from motion compensated sequences
Bugra Tekin, Artem Rozantsev, Vincent Lepetit, and Pascal Fua · 2016
Closest in time.
Convolutional pose machines
S-E Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Closest in time.
End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
W. Yang, W. Ouyang, H. Li, and X. Wang · 2016
Closest in time.
A dual-source approach for 3D pose estimation from a single image
H. Yasin, U. Iqbal, B. Krüger, A. Weber, and J. Gall · 2016
Closest in time.
Sparseness meets deepness: 3D human pose estimation from monocular video
X. Zhou, M. Zhu, S. Leonardos, K. Derpanis, and K. Daniilidis · 2016
Closest in time.