Cited by 142Human Pose and Action RecognitionVideo Surveillance and Tracking MethodsHand Gesture Recognition Systems

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

Jain, Arjun, Tompson, Jonathan, LeCun, Yann, Bregler, Christoph·2015·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-319-16808-1_21

Cites

61 of 61 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Cites

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1 of the 62 references couldn’t be matched to a known paper.

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Authors
Jain, A., Tompson, J., LeCun, Y., & Bregler, C.
Affiliations
New York University (US)
Corresponding author
Jain, Arjun
Venue
Lecture Notes in Computer Science
Published
2015
Pages
302-315
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2121969814
Cited by
142
References
62
Citations by year
2025: 4 · 2024: 3 · 2023: 8 · 2022: 10 · 2021: 8 · 2020: 8 · 2019: 21 · 2018: 18 · 2017: 24 · 2016: 20 · 2015: 16 · 2014: 2
FWCI
10.66
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
Keywords
human pose estimation, motion features, convolutional neural networks

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