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{"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "paper": {"paperId": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "key": "youtube_poses", "title": "Personalizing Human Video Pose Estimation", "journal": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1511.06676.pdf", "report_link": "papers/1c2802c2199b6d15ecefe7ba0c39bfe44363de38.html", "citation_count": 32, "citations_geocoded": 17, "citations_unknown": 15, "citations_empty": 2, "citations_pdf": 27, "citations_doi": 5, "name": "YouTube Pose"}, "address": null, "citations": [["Unite the People: Closing the Loop Between 3D and 2D Human Representations", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2017"], ["Multiple human 3D pose estimation from multiview images", "Department of Electrical Engineering, Sharif University of Technology, Tehran, 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["Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "", "Aalto University", "Aalto University", "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "60.18558755", "24.82427330", "edu", "", "2016"]]}