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        JOURNAL = VC,
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@inproceedings{bb160901,
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        TITLE = "Time-Varying Surface Reconstruction of an Actor's Performance",
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@article{bb160902,
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        TITLE = "Inverse kinematics using dynamic joint parameters: inverse kinematics
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Shapes from a Single Depth Sensor",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741pa2.html#TT156584"}

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@inproceedings{bb160906,
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@inproceedings{bb160907,
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        YEAR = "2018",
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@inproceedings{bb160909,
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        TITLE = "Leveraging MoCap Data for Human Mesh Recovery",
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@inproceedings{bb160910,
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        TITLE = "Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation
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@inproceedings{bb160911,
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@inproceedings{bb160912,
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@inproceedings{bb160913,
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@inproceedings{bb160914,
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@inproceedings{bb160915,
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@inproceedings{bb160923,
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@article{bb160925,
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        AUTHOR = "Blank, M. and Gorelick, L. and Shechtman, E. and Irani, M. and Basri, R.",
        TITLE = "Actions as Space-Time Shapes",
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@article{bb160929,
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@article{bb160930,
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@inproceedings{bb160931,
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@inproceedings{bb160932,
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        TITLE = "Human Pose Inference from Stereo Cameras",
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@inproceedings{bb160933,
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@inproceedings{bb160934,
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@article{bb160935,
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@inproceedings{bb160936,
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@article{bb160937,
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@article{bb160938,
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@article{bb160939,
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@article{bb160940,
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@inproceedings{bb160942,
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@article{bb160943,
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        MONTH = "December",
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@article{bb160944,
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@article{bb160945,
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@article{bb160946,
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@article{bb160947,
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        JOURNAL = IEICE,
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@article{bb160948,
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@article{bb160949,
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@article{bb160950,
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@article{bb160951,
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@article{bb160952,
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@inproceedings{bb160953,
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@article{bb160954,
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@article{bb160956,
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Model",
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Temporal Differences",
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@inproceedings{bb160961,
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        TITLE = "Single-Shot Freestyle Dance Reenactment",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "882-891",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156641"}

@article{bb160962,
        AUTHOR = "Li, M. and Miao, Z.J. and Zhang, X.P. and Xu, W. and Ma, C. and Xie, N.",
        TITLE = "Rhythm-Aware Sequence-to-Sequence Learning for Labanotation
Generation With Gesture-Sensitive Graph Convolutional Encoding",
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@article{bb160963,
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        TITLE = "Generating Dance Videos Using Pose Transfer Generative Adversarial
Network With Multiple Scale Region Extractor and Learnable Region
Normalization",
        JOURNAL = MultMedMag,
        VOLUME = "29",
        YEAR = "2022",
        NUMBER = "1",
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        PAGES = "47-54",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156643"}

@inproceedings{bb160964,
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        TITLE = "Unsupervised 3D Pose Estimation for Hierarchical Dance Video
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        YEAR = "2021",
        PAGES = "10995-11004",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156644"}

@inproceedings{bb160965,
        AUTHOR = "Li, R.L. and Yang, S. and Ross, D.A. and Kanazawa, A.",
        TITLE = "AI Choreographer: Music Conditioned 3D Dance Generation with AIST++",
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        PAGES = "13381-13392",
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@inproceedings{bb160966,
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        TITLE = "Learning High Fidelity Depths of Dressed Humans by Watching Social
Media Dance Videos",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "12748-12757",
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@inproceedings{bb160967,
        AUTHOR = "Bakalos, N. and Rallis, I. and Doulamis, N. and Doulamis, A. and Voulodimos, A. and Protopapadakis, E.",
        TITLE = "Adaptive Convolutionally Enchanced Bi-Directional LSTM Networks for
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        PAGES = "1826-1830",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156647"}

@inproceedings{bb160968,
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        TITLE = "Everybody Dance Now",
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        PAGES = "5932-5941",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156648"}

@inproceedings{bb160969,
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        TITLE = "Dance With Flow: Two-In-One Stream Action Detection",
        BOOKTITLE = CVPR19,
        YEAR = "2019",
        PAGES = "9927-9936",
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@inproceedings{bb160970,
        AUTHOR = "Rallis, I. and Bakalos, N. and Doulamis, N.D. and Voulodimos, A. and Doulamis, A.D. and Protopapadakis, E.",
        TITLE = "Learning Choreographic Primitives Through A Bayesian Optimized
Bi-Directional LSTM Model",
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        PAGES = "1940-1944",
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@inproceedings{bb160971,
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        TITLE = "Query-by-Dancing: A Dance Music Retrieval System Based on Body-Motion
Similarity",
        BOOKTITLE = "MMMod19",
        YEAR = "2019",
        PAGES = "I:251-263",
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@inproceedings{bb160972,
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        TITLE = "Spatio-Temporal Laban Features for Dance Style Recognition",
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        PAGES = "2911-2916",
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@inproceedings{bb160973,
        AUTHOR = "Voulodimos, A. and Doulamis, N. and Doulamis, A. and Rallis, I.",
        TITLE = "Kinematics-based Extraction of Salient 3D Human Motion Data for
Summarization of Choreographic Sequences",
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        YEAR = "2018",
        PAGES = "3013-3018",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f741d1.html#TT156653"}

@inproceedings{bb160974,
        AUTHOR = "Won, H. and Yu, J.M.",
        TITLE = "Interactive Media Art Based on Location and Motion Tracking of
Multi-performers",
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@inproceedings{bb160975,
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        TITLE = "Ego-Centric Recording Framework for Korean Traditional Crafts Motion",
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@inproceedings{bb160976,
        AUTHOR = "Syu, Y.S. and Chen, L.O. and Tu, Y.F.",
        TITLE = "A Case Study of Digital Preservation of Motion Capture for Ba Jia Jiang
Performance, Taiwan Religious Performing Arts",
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@inproceedings{bb160977,
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        TITLE = "Hierarchical Sparse Modeling for Representative Selection in
Choreographic Time Series",
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@inproceedings{bb160978,
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@inproceedings{bb160979,
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        TITLE = "A Low-cost Markerless Tracking System for Trajectory Interpretation",
        BOOKTITLE = "3DARCH17",
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@inproceedings{bb160987,
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