CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

Algorithm for the solution of the assignment problem for sparse matrices

G. Carpaneto and P. Toth · 1983

Earlier work this paper cites.

Some matroids from discrete applied geometry

W. Whiteley · 1996

Earlier work this paper cites.

The pascal visual object classes (VOC) challenge

M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010

Earlier work this paper cites.

Human tracking using convolutional neural networks

J. Fan, W. Xu, Y. Wu, and Y. Gong · 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.

Multiple human tracking in high-density crowds

I. Ali and M. N. Dailey · 2012

Earlier work this paper cites.

Lecture 6.5-RMSprop: Divide the gradient by a running average of its recent magnitude

T. Tieleman and G. Hinton · 2012

Earlier work this paper cites.

Merging pose estimates across space and time

X. P. Burgos-Artizzu, D. C. Hall, P. Perona, and P. Dollár · 2013

Earlier work this paper cites.

Human pose estimation using body parts dependent joint regressors

M. Dantone, J. Gall, C. Leistner, and L. Van Gool · 2013

Earlier work this paper cites.

Multi-pose multi-target tracking for activity understanding

H. Izadinia, V. Ramakrishna, K. M. Kitani, and D. Huber · 2013

Earlier work this paper cites.

Towards understanding action recognition

H. Jhuang, J. Gall, S. Zuffi, C. Schmid, and M. J. Black · 2013

Earlier work this paper cites.

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.

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

Cited alongside, same era.

Fine-grained activity recognition with holistic and pose based features

L. Pishchulin, M. Andriluka, and B. Schiele · 2014

Cited alongside, same era.

Parsing occluded people by flexible compositions

X. Chen and A. L. Yuille · 2015

Cited alongside, same era.

Faster R-CNN: Towards real-time object detection with region proposal networks

S. Ren, K. He, R. Girshick, and J. Sun · 2015

Cited alongside, same era.

Stacked hourglass networks for human pose estimation

A. Newell, K. Yang, and J. Deng · 2016

Cited alongside, same era.

Mask R-CNN

K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017

Later among the works it cites.

MegDet: A large mini-batch object detector

Original

C. Peng, T. Xiao, Z. Li, Y. Jiang, X. Zhang, K. Jia, G. Yu, and J. Sun · 2017

Later among the works it cites.

Pose-driven deep convolutional model for person re-identification

C. Su, J. Li, S. Zhang, S. Xing, W. Gao, and T. Qi · 2017

Later among the works it cites.

AI Challenger: A large-scale dataset for going deeper in image understanding

Original

J. Wu, H. Zheng, B. Zhao, Y. Li, B. Yan, R. Liang, W. Wang, S. Zhou, G. Lin, Y. Fu, et al · 2017

Later among the works it cites.

Learning feature pyramids for human pose estimation

W. Yang, S. Li, W. Ouyang, H. Li, and X. Wang · 2017

Later among the works it cites.