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MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
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Deep Globally Constrained MRFs for Human Pose Estimation
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RETRACTED ARTICLE: An effiecient human tracking system using Haar-like and hog feature extraction
Prasanna, D., & Prabhakar, M. (2018) · Cluster Computing · doi:10.1007/s10586-018-1747-5 · Cited by 7
Retracted
Metadata
- Authors
- Jain, A., Tompson, J., LeCun, Y., & Bregler, C.
- Affiliations
- New York University (US)
- Corresponding author
- Jain, Arjun
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- 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
- FWCI
- 10.66
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- 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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