Cited by 779Human Pose and Action RecognitionDomain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

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Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

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Misra, Ishan, Zitnick, C. Lawrence, Hebert, Martial·2016·Lecture Notes in Computer Science

DOI 10.1007/978-3-319-46448-0_32

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Authors: Misra, I., Zitnick, C. L., & Hebert, M.
Affiliations: Carnegie Mellon University (US)
Meta (United States) (US)
Corresponding author: Misra, Ishan
ORCID: Misra, Ishan
Zitnick, C. Lawrence
Hebert, Martial
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2016
Pages: 527-544
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-319-46448-0_32
OpenAlex: W2487442924
Cited by: 779
References: 76
Citations by year: 2026: 18 · 2025: 31 · 2024: 55 · 2023: 98 · 2022: 144 · 2021: 167 · 2020: 131 · 2019: 75 · 2018: 33 · 2017: 23 · 2016: 4
FWCI: 15.61
Type: conference paper
Language: en
Open access: green
arxiv.org
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Lecture notes in computer science (publishedVersion)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University)
Funders: Nvidia
Multidisciplinary University Research Initiative
Office of Naval Research (N00014-16-1-2007)
Army Research Laboratory (W911NF, W911NF-10, W911NF-10-2-0016)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords: unsupervised learning, video representation learning, spatiotemporal signals, pre-training, human action recognition, human pose estimation, visual representation

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