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Human Pose and Action Recognition
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments.
185
Works
IDs:OpenAlex
How has Human Pose and Action Recognition's publication output changed over time?
ScholarIQpublication output · 2011–2023
Output grew0% over the shown period — from 1 works in 2011 to 1 in 2023.
1
1
2
3
1
1
2
1
1
1
2011201320142016201720182019202020222023
What are the most-cited papers on Human Pose and Action Recognition?
ScholarIQmost cited works
Large-Scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei
20146,364 Citations
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
Quoc V. Le, Will Y. Zou, Serena Yeung, Andrew Y. Ng
2011984 Citations
End-to-End Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei
2016624 Citations
Generating Diverse and Natural 3D Human Motions from Text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng
S4363607701. 2022509 Citations
Where is Human Pose and Action Recognition research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Human Pose and Action Recognition is open access?
ScholarIQopen access share
13%OPEN ACCESS
Gold
0%
Green
13%
Hybrid
0%
Bronze
0%
Closed
87%
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