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We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots.
Pictorial structures for object recognition
P. F. Felzenszwalb and D. P. Huttenlocher · 2005
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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2d articulated human pose estimation and retrieval in (almost) unconstrained still images
M. Eichner, M. Marin-Jimenez, A. Zisserman, and V. Ferrari · 2012
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Human pose estimation using body parts dependent joint regressors
M. Dantone, J. Gall, C. Leistner, and L. Gool · 2013
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Fast r-cnn
R. Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Flowing convnets for human pose estimation in videos
T. Pfister, J. Charles, and A. Zisserman · 2015
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Viewpoint invariant human re-identification in camera networks using pose priors and subject-discriminative features
Z. Wu, Y. Li, and R. J. Radke · 2015
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Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2016
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Person re-identification by multi-channel parts-based cnn with improved triplet loss function
D. Cheng, Y. Gong, S. Zhou, J. Wang, and N. Zheng · 2016
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Towards viewpoint invariant 3d human pose estimation
A. Haque, B. Peng, Z. Luo, A. Alahi, S. Yeung, and L. Fei-Fei · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, M. Bernstein, and L. Fei-Fei · 2016
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Human pose estimation using deep consensus voting
I. Lifshitz, E. Fetaya, and S. Ullman · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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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
Cited alongside, same era.
Towards accurate multi-person pose estimation in the wild
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy · 2017
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Spindle net: Person re-identification with human body region guided feature decomposition and fusion
H. Zhao, M. Tian, S. Sun, J. Shao, J. Yan, S. Yi, X. Wang, and X. Tang · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
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Cascaded pyramid network for multi-person pose estimation
Y. Chen, Z. Wang, Y. Peng, Z. Zhang, G. Yu, and J. Sun · 2018
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Learning to refine human pose estimation
M. Fieraru, A. Khoreva, L. Pishchulin, and B. Schiele · 2018
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W. Shi, J. Caballero, F. Huszár, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Recurrent human pose estimation
V. Belagiannis and A. Zisserman · 2017
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
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Rmpe: Regional multi-person pose estimation
H. Fang, S. Xie, and C. Lu · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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A coarse-fine network for keypoint localization
S. Huang, M. Gong, and D. Tao · 2017
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Detectron
R. Girshick, I. Radosavovic, G. Gkioxari, P. Dollár, and K. He · 2018
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Densepose: Dense human pose estimation in the wild
R. A. Güler, N. Neverova, and I. Kokkinos · 2018
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Multiposenet: Fast multi-person pose estimation using pose residual network
M. Kocabas, S. Karagoz, and E. Akbas · 2018
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Deeplabcut: markerless pose estimation of user-defined body parts with deep learning
A. Mathis, P. Mamidanna, K. M. Cury, T. Abe, V. N. Murthy, M. W. Mathis, and M. Bethge · 2018
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NuScenes data set
NuTonomy · 2018
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G. Papandreou, T. Zhu, L. Chen, S. Gidaris, J. Tompson, and K. Murphy · 2018
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Detectron.pytorch
R. Tseng · 2018
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Magnify-net for multi-person 2d pose estimation
H. Wang, W. P. An, X. Wang, L. Fang, and J. Yuan · 2018
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Simple baselines for human pose estimation and tracking
B. Xiao, H. Wu, and Y. Wei · 2018
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Multi-person pose estimation via multi-layer fractal network and joints kinship pattern
Y. Luo, Z. Xu, P. Liu, Y. Du, and J.-M. Guo · 2019
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