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Human Pose and Action Recognition

TopicLeading institutions, researchers & key papers

Human Pose and Action Recognition is a topic indexed in ScholarIQ from OpenAlex.

What is known about Human Pose and Action Recognition?

ScholarIQrecord summary

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.

How many works does Human Pose and Action Recognition have?

ScholarIQindexed works

Human Pose and Action Recognition has 185 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Human Pose and Action Recognition?

ScholarIQopenalex

The OpenAlex for Human Pose and Action Recognition is on the source record.

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
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
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022509 Citations
An Approach to Pose-Based Action Recognition
Chunyu Wang, Yizhou Wang, Alan Yuille
2013393 Citations

Where is Human Pose and Action Recognition research published, and who funds it?

ScholarIQvenues & funding sources

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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