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A CRNN-based attention-seq2seq model with fusion feature for automatic Labanotation generation11The Fundamental Research Funds for the Central Universities 2021RC216

Neurocomputing (Amsterdam), 2021-09, Vol.454, p.430-440

2021

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A CRNN-based attention-seq2seq model with fusion feature for automatic Labanotation generation

Neurocomputing (Amsterdam), 2021-09, Vol.454, p.430-440

2021

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Automatic Transcription of Greek Folk Dance Videos to Labanotation Based on Autoencoders

HCI International 2023 – Late Breaking Posters, p.513-521

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Involuntary Motion: The Somantics of Refugee Performance

Kaplan, Jeff

1st edition, 2020

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LabanFormer: Multi-scale graph attention network and transformer with gated recurrent positional encoding for labanotation generation

Neurocomputing (Amsterdam), 2023-06, Vol.539, p.126203, Article 126203

2023

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Long and short spatial-temporal relations model for automatic generation of Labanotation

Journal of electronic imaging, 2023-03, Vol.32 (2)

2023

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Sequential Gesture Learning for Continuous Labanotation Generation Based on the Fusion of Graph Neural Networks

IEEE transactions on circuits and systems for video technology, 2022-06, Vol.32 (6), p.3722-3734

2022

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Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots

International journal of computer vision, 2018-12, Vol.126 (12), p.1415-1429

2018

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Dancing Calgon: Embodied Research through Motif Notation

Journal of Embodied Research, 2023-07, Vol.6 (1)

2023

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Rhythm-Aware Sequence-to-Sequence Learning for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding

IEEE transactions on multimedia, 2022, Vol.24, p.1488-1502

2022

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An Extended Labanotation Generation Method Based on 3D Human Pose Estimation for Intangible Cultural Heritage Dance Videos

International journal of pattern recognition and artificial intelligence, 2023-08, Vol.37 (10)

2023

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Sigurd Leeder: A Forgotten Master?

Dance research, 2023-05, Vol.41 (1), p.113-135

Lidbury, Clare

2023

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Applying learning-from-observation to household service robots: three task common-sense formulations

Frontiers in computer science (Lausanne), 2024-07, Vol.6

2024

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Translation as an embodied practice: The case of dance notation

World literature studies, 2022-01, Vol.14 (1), p.32-43

Wardle, Mary

2022

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Robot Ego‐Noise Suppression with Labanotation‐Template Subtraction

IEEJ transactions on electrical and electronic engineering, 2022-03, Vol.17 (3), p.407-415

2022

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Automatic generation of Labanotation based on human pose estimation in folk dance videos

Neural computing & applications, 2023-12, Vol.35 (35), p.24755-24771

2023

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The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm

IEEE access, 2021, Vol.9, p.31213-31224

2021

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Skeleton-based automatic generation of Labanotation with neural networks

Journal of electronic imaging, 2019-03, Vol.28 (2), p.1

2019

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Differentiating (an)notation practices: an artist-scholar's observation

International journal of performance arts and digital media, 2021-01, Vol.17 (1), p.69-85

Stancliffe, Rebecca

2021

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Using automatic generation of Labanotation to protect folk dance

Journal of electronic imaging, 2017-01, Vol.26 (1), p.11028

2017

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Moving in the Cube: A Motion-based Playful Experience for Introducing Labanotation to Beginners

Journal on computing and cultural heritage, 2021-06, Vol.14 (2), p.1-26

2021

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Synchronized Dancing of an Industrial Manipulator and Humans with Arbitrary Music

Acta polytechnica Hungarica, 2017-01, Vol.14 (2)

2017

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A method of automatically generating Labanotation from human motion capture data

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.854-859

2018

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Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features

2019 IEEE International Conference on Image Processing (ICIP), 2019, p.4265-4269

2019

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Dance Movement Learning for Labanotation Generation Based on Motion-Captured Data

IEEE access, 2019, Vol.7, p.161561-161572

2019

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A CRNN-based attention-seq2seq model with fusion feature for automatic Labanotation generation11The Fundamental Research Funds for the Central Universities 2021RC216

A CRNN-based attention-seq2seq model with fusion feature for automatic Labanotation generation

Automatic Transcription of Greek Folk Dance Videos to Labanotation Based on Autoencoders

Involuntary Motion: The Somantics of Refugee Performance

LabanFormer: Multi-scale graph attention network and transformer with gated recurrent positional encoding for labanotation generation

Long and short spatial-temporal relations model for automatic generation of Labanotation

Sequential Gesture Learning for Continuous Labanotation Generation Based on the Fusion of Graph Neural Networks

Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots

Dancing Calgon: Embodied Research through Motif Notation

Rhythm-Aware Sequence-to-Sequence Learning for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding

An Extended Labanotation Generation Method Based on 3D Human Pose Estimation for Intangible Cultural Heritage Dance Videos

Sigurd Leeder: A Forgotten Master?

Applying learning-from-observation to household service robots: three task common-sense formulations

Translation as an embodied practice: The case of dance notation

Robot Ego‐Noise Suppression with Labanotation‐Template Subtraction

Automatic generation of Labanotation based on human pose estimation in folk dance videos

The Method of Dance Movement Segmentation and Labanotation Generation Based on Rhythm

Skeleton-based automatic generation of Labanotation with neural networks

Differentiating (an)notation practices: an artist-scholar's observation

Using automatic generation of Labanotation to protect folk dance

Moving in the Cube: A Motion-based Playful Experience for Introducing Labanotation to Beginners

Synchronized Dancing of an Industrial Manipulator and Humans with Arbitrary Music

A method of automatically generating Labanotation from human motion capture data

Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features

Dance Movement Learning for Labanotation Generation Based on Motion-Captured Data

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