KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

WANG Xiaoyang, JI Qiang, 2014, A hierarchical context model for event recognition in surveillance video, IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 2561-2568

2

ARTACHO Bruno, SAVAKIS Andreas, 2020, Unipose: Unified human pose estimation in single images and videos, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 7035-7044

3

NEWELL Alejandro, YANG Kaiyu, DENG Jia, 2016, Stacked hourglass networks for human pose estimation, European conference on computer vision, Vol. 1, pp. 483-499

4

MARTINEZ Julieta, 2017, A simple yet effective baseline for 3d human pose estimation, IEEE International Conference on Computer Vision, Vol. 1, pp. 2640-2649

5

Alex KRIZHEVSKY, Ilya SUTSKEVER, Geoffrey HINTON, 2012, Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp. 1097-1105

6

Christian SZEGEDY, 2015, Going deeper with convolutions, IEEE conference on computer vision and pattern recognition. vol. 1, Vol. 1, pp. 1-9

7

Kaiming HE, 2016, Deep residual learning for image recognition, IEEE conference on computer vision and pattern recognition, Vol. 1, pp. 770-778

8

Jonathan J TOMPSON, 2014, Joint training of a convolutional network and a graphical model for human pose estimation, neural information processing systems, pp. 1799-1807

9

Toshev, A. Szegedy, 2014, Deeppose: Human pose estimation via deep neural networks, IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 1653-1660

10

Hanbyul Joo, Natalia Neverova, Andrea Vedaldi, 2020, Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition

11

Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, 2016, RMPE: Regional Multi-Person Pose Estimation, IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 2353-2362

12

X. Chen, A. L. Yuille, 2015, Parsing occluded people by flexible compositions, IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 3945-3954

13

PISHCHULIN Leonid, 2016, Deepcut: Joint subset partition and labeling for multi person pose estimation, IEEE conference on computer vision and pattern recognition, Vol. 1, pp. 4929-4937

14

Cao Zhe, Hidalgo Gines, Simon Tomas, Wei Shih-En, Sheikh Yaser, 2017, OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields, IEEE conference on computer vision and pattern recognition, Vol. 1, pp. 1302-1310

15

X. Chen, A. L. Yuille, 2015, Parsing occluded people by flexible compositions, IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 3945-3954

16

Eldar INSAFUTDINOV, 2016, Deepercut: A deeper, stronger, and faster multi-person pose estimation model, European Conference on Computer Vision, pp. 34-50

17

Dario PAVLLO, 2019, 3d human pose estimation in video with temporal convolutions and semi-supervised training, IEEE/ CVF Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 7753-7762

18

Jamie SHOTTON, 2019, Real-time human pose recognition in parts from single depth images, Vol. 1, pp. 7745-7754

19

Mehta, 2017, VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera, ACM Transactions on Graphics, Vol. 36, No. 4, pp. 1-14

20

Aiden Nibali, Zhen He, 2019, 3d human pose estimation with 2d marginal heatmaps, IEEE Winter Conference on Applications of Computer Vision, Vol. 1, pp. 1477-1485

21

Rishabh Dabral, Nitesh B Gundavarapu, 2019, Multi-person 3d human pose estimation from monocular images, International Conference on 3D Vision, Vol. 1, pp. 405-414

22

A. Kanazawa, M. J. Black, D. W. Jacobs, J. Malik, 2018, End-to-End Recovery of Human Shape and Pose, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 7122-7131

23

D. Mehta, O. Sotnychenko, F. Mueller, 2018, Single-Shot Multi-person 3D Pose Estimation from Monocular RGB, International Conference on 3D Vision, Vol. 1, pp. 120-130

24

D. Mehta, O. Sotnychenko, F. Mueller, 2020, XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera, ACM Transactions on Graphics, Vol. 39, No. 4, pp. 1-17

KIEEThe Transactions of
the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers