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Easy access to precise 3D tracking of movement could benefit many aspects of rehabilitation.
The qualitative assessment of general movements in preterm, term and young infants–review of the methodology
C. Einspieler, H. F. Prechtl, F. Ferrari, G. Cioni, and A. F. Bos · 1997
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The OpenCV library
G. Bradski · 2000
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An update on the prevalence of cerebral palsy: A systematic review and meta-analysis
Maryam Oskoui, Franzina Coutinho, Jonathan Dykeman, Nathalie Jetté, and Tamara Pringsheim · 2013
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A systematic review of tests to predict cerebral palsy in young children
Margot Bosanquet, Lisa Copeland, Robert Ware, and Roslyn Boyd · 2013
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A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation, February 2016
Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, and Christian Theobalt · 2016
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Scene Parsing through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis
Nikolas Hesse, Sergi Pujades, Javier Romero, Michael J. Black, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Uta Tacke, Mijna Hadders-Algra, Raphael Weinberger, Wolfgang Müller-Felber, and A. Sebastian Schroeder · 2018
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Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set
Nikolas Hesse, Raphael Weinberger, and A Sebastian Schroeder · 2019
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Anipose: A toolkit for robust markerless 3D pose estimation
Pierre Karashchuk, Katie L. Rupp, Evyn S. Dickinson, Elischa Sanders, Eiman Azim, Bingni W. Brunton, and John C. Tuthill · 2020
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RGB-D Videos-Based Early Prediction of Infant Cerebral Palsy via General Movements Complexity
Qingqiang Wu, Guanghua Xu, Fan Wei, Longting Chen, and Sicong Zhang · 2021
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Automatically Measure the Quality of Infants’ Spontaneous Movement via Videos to Predict the Risk of Cerebral Palsy
Qingqiang Wu, Guanghua Xu, Fan Wei, Jiachen Kuang, Xin Zhang, Longting Chen, and Sicong Zhang · 2021
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Invariant Representation Learning for Infant Pose Estimation with Small Data, November 2021
Xiaofei Huang, Nihang Fu, Shuangjun Liu, and Sarah Ostadabbas · 2021
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Towards human-level performance on automatic pose estimation of infant spontaneous movements
Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, and Espen A. F. Ihlen · 2021
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Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
Robert M. Kanko, Elise K. Laende, Gerda Strutzenberger, Marcus Brown, W. Scott Selbie, Vincent DePaul, Stephen H. Scott, and Kevin J. Deluzio · 2021
Toward Practical Monocular Indoor Depth Estimation
Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, and Shuochen Su · 2022
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Masked-attention Mask Transformer for Universal Image Segmentation, June 2022
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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3D Gaussian Splatting for Real-Time Radiance Field Rendering, August 2023
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2023
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4D Gaussian Splatting for Real-Time Dynamic Scene Rendering, October 2023
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
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Markerless Motion Capture and Biomechanical Analysis Pipeline
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Cited alongside, same era.
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Portable in-clinic video-based gait analysis: Validation study on prosthetic users
Anthony Cimorelli, Ankit Patel, Tasos Karakostas, and R. James Cotton · 2022
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NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review, December 2022
Kyle Gao, Yina Gao, Hongjie He, Dening Lu, Linlin Xu, and Jonathan Li · 2022
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OpenCap: 3D human movement dynamics from smartphone videos, July 2022
Scott D. Uhlrich, Antoine Falisse, Łukasz Kidziński, Julie Muccini, Michael Ko, Akshay S. Chaudhari, Jennifer L. Hicks, and Scott L. Delp · 2022
Cited alongside, same era.
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting, October 2023a
Zeyu Yang, Hongye Yang, Zijie Pan, Xiatian Zhu, and Li Zhang
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Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction, September 2023b
Ziyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, and Xiaogang Jin
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R. James Cotton, Allison DeLillo, Anthony Cimorelli, Kunal Shah, J. D. Peiffer, Shawana Anarwala, Kayan Abdou, and Tasos Karakostas · 2023
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Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos
Beerend G. A. Gerats, Jelmer M. Wolterink, and Ivo A. M. J. Broeders · 2023
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Ingra14m/depth-diff-gaussian-rasterization at f2d8fa9921ea9a6cb9ac1c33a34ebd1b11510657, 2023
Ziyi Yang · 2023
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Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study
Espen A. F. Ihlen, Ragnhild Støen, Lynn Boswell, Raye-Ann de Regnier, Toril Fjørtoft, Deborah Gaebler-Spira, Cathrine Labori, Marianne C. Loennecken, Michael E. Msall, Unn I. Möinichen, Colleen Peyton, Michael D. Schreiber, Inger E. Silberg, Nils T. Songstad, Randi T. Vågen, Gunn K. Øberg, and Lars Adde · 2077
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