Fetching the paper…
Reading the bibliography…
This paper proposes a new hybrid architecture that consists of a deep Convolutional Network and a Markov Random Field.
Remap: recursive estimation and maximization of a posteriori probabilities in connectionist speech recognition
H. Bourlard, Y. Konig, and N. Morgan · 1995
Earlier work this paper cites.
Object recognition from local scale-invariant features
D. Lowe · 1999
Earlier work this paper cites.
Estimating human body configurations using shape context matching
G. Mori and J. Malik · 2002
Earlier work this paper cites.
Inferring 3d structure with a statistical image-based shape model
K. Grauman, G. Shakhnarovich, and T. Darrell · 2003
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Hierarchical probabilistic neural network language model
F. Morin and Y. Bengio · 2005
Earlier work this paper cites.
Toward automatic phenotyping of developing embryos from videos
F. Ning, D. Delhomme, Y. LeCun, F. Piano, L. Bottou, and P. Barbano · 2005
Earlier work this paper cites.
Strike a pose: Tracking people by finding stylized poses
D. Ramanan, D. Forsyth, and A. Zisserman · 2005
Earlier work this paper cites.
A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
Earlier work this paper cites.
Cascaded classification models: Combining models for holistic scene understanding
G. Heitz, S. Gould, A. Saxena, and D. Koller · 2008
Cited alongside, same era.
Pictorial structures revisited: People detection and articulated pose estimation
M. Andriluka, S. Roth, and B. Schiele · 2009
Cited alongside, same era.
Poselets: Body part detectors trained using 3d human pose annotations
L. Bourdev and J. Malik · 2009
Cited alongside, same era.
Learning sign language by watching TV (using weakly aligned subtitles)
P. Buehler, A. Zisserman, and M. Everingham · 2009
Cited alongside, same era.
Better appearance models for pictorial structures
M. Eichner and V. Ferrari · 2009
Cited alongside, same era.
A study of parts-based object class detection using complete graphs
M. Bergtholdt, J. Kappes, S. Schmidt, and C. Schnörr · 2010
Learning message-passing inference machines for structured prediction
S. Ross, D. Munoz, M. Hebert, and J.A Bagnell · 2011
Later among the works it cites.
Fast image scanning with deep max-pooling convolutional neural networks
A. Giusti, D. Ciresan, J. Masci, L. Gambardella, and J. Schmidhuber · 2013
Later among the works it cites.
Fast training of convolutional networks through ffts
M. Mathieu, M. Henaff, and Y. LeCun · 2013
Later among the works it cites.
Modec: Multimodal decomposable models for human pose estimation
B. Sapp and B. Taskar · 2013
Later among the works it cites.
Learning human pose estimation features with convolutional networks
A. Jain, J. Tompson, M. Andriluka, G. Taylor, and C. Bregler · 2014
Closest in time.
Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
Cited alongside, same era.
Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
Cited alongside, same era.
Human pose estimation using body parts dependent joint regressors
M. Dantone, J. Gall, C. Leistner, and L. Van Gool
Cited in the paper.
Articulated pose estimation using discriminative armlet classifiers
G. Gkioxari, P. Arbelaez, L. Bourdev, and J. Malik
Cited in the paper.
Learning Effective Human Pose Estimation from Inaccurate Annotation
S. Johnson and M. Everingham
Cited in the paper.
Poselet conditioned pictorial structures
L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele
Cited in the paper.
Closest in time.
Real-time continuous pose recovery of human hands using convolutional networks
J. Tompson, M. Stein, Y. LeCun, and K. Perlin · 2014
Closest in time.
Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Closest in time.