Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2015.7298740 ◽

2015 ◽

Author(s):

Xiaochuan Fan ◽

Kang Zheng ◽

Yuewei Lin ◽

Song Wang

Keyword(s):

Neural Networks ◽

Pose Estimation ◽

Deep Neural Networks ◽

Human Pose Estimation ◽

Holistic View ◽

Dual Source ◽

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Computer vision approaches based on deep learning and neural networks: Deep neural networks for video analysis of human pose estimation

2017 6th Mediterranean Conference on Embedded Computing (MECO) ◽

10.1109/meco.2017.7977207 ◽

2017 ◽

Author(s):

Eralda Nishani ◽

Betim Cico

Keyword(s):

Neural Networks ◽

Computer Vision ◽

Deep Learning ◽

Pose Estimation ◽

Video Analysis ◽

Deep Neural Networks ◽

Human Pose Estimation ◽

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Deep neural networks for human pose estimation from a very low resolution depth image

Multimedia Tools and Applications ◽

10.1007/s11042-019-7433-7 ◽

2019 ◽

Vol 78 (20) ◽

pp. 29357-29377 ◽

Author(s):

Piotr Szczuko

Keyword(s):

Neural Networks ◽

Pose Estimation ◽

Deep Neural Networks ◽

Depth Image ◽

Human Pose Estimation ◽

Low Resolution ◽

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DeepPose: Human Pose Estimation via Deep Neural Networks

2014 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2014.214 ◽

2014 ◽

Author(s):

Alexander Toshev ◽

Christian Szegedy

Keyword(s):

Neural Networks ◽

Pose Estimation ◽

Deep Neural Networks ◽

Human Pose Estimation ◽

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Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task Learning

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-64698-5_21 ◽

2017 ◽

pp. 241-252

Author(s):

Satoshi Tanabe ◽

Ryosuke Yamanaka ◽

Mitsuru Tomono ◽

Makiko Ito ◽

Teruo Ishihara

Keyword(s):

Neural Networks ◽

Real Time ◽

Pose Estimation ◽

Human Pose Estimation ◽

Task Learning ◽

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On the use of convolutional neural networks for graphical model-based human pose estimation

2017 International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom) ◽

10.1109/sigtelcom.2017.7849801 ◽

2017 ◽

Author(s):

Huynh Vu ◽

Eva Cheng ◽

Richardt Wilkinson ◽

Margaret Lech

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Graphical Model ◽

Human Pose Estimation ◽

Model Based ◽

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End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2016.335 ◽

2016 ◽

Author(s):

Wei Yang ◽

Wanli Ouyang ◽

Hongsheng Li ◽

Xiaogang Wang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

Deep Convolutional Neural Networks ◽

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Human Pose Estimation Using Convolutional Neural Networks

2019 Amity International Conference on Artificial Intelligence (AICAI) ◽

10.1109/aicai.2019.8701267 ◽

2019 ◽

Author(s):

Anubhav Singh ◽

Shruti Agarwal ◽

Preeti Nagrath ◽

Anmol Saxena ◽

Narina Thakur

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

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A human pose estimation algorithm based on the integration of improved convolutional neural networks and multi-level graph structure constrained model

Personal and Ubiquitous Computing ◽

10.1007/s00779-019-01255-8 ◽

2019 ◽

Vol 23 (3-4) ◽

pp. 607-616

Author(s):

Yang You ◽

Yanmin Zhao

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Pose Estimation ◽

Estimation Algorithm ◽

Human Pose Estimation ◽

Graph Structure ◽

Multi Level ◽

Constrained Model ◽

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Using Diverse Neural Networks for Safer Human Pose Estimation: Towards Making Neural Networks Know When They Don’t Know

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341634 ◽

2020 ◽

Author(s):

Patrick Schlosser ◽

Christoph Ledermann

Keyword(s):

Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

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An Automatic Design of Factors in a Human-Pose Estimation System Using Neural Networks

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2016.2557218 ◽

2016 ◽

Vol 46 (7) ◽

pp. 875-887 ◽

Author(s):

Kai-Chi Chan ◽

Cheng-Kok Koh ◽

C. S. George Lee

Keyword(s):

Neural Networks ◽

Pose Estimation ◽

Human Pose Estimation ◽

Automatic Design ◽

Estimation System

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