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With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision.
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Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
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Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Joao Carreira and Andrew Zisserman · 2017
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Two-stream 3d convolutional neural network for skeleton-based action recognition
Hong Liu, Juanhui Tu, and Mengyuan Liu · 2017
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Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
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An end-to-end spatio-temporal attention model for human action recognition from skeleton data
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Self-supervised learning of motion capture
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Gul Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J Black, Ivan Laptev, and Cordelia Schmid · 2017
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View adaptive recurrent neural networks for high performance human action recognition from skeleton data
Pengfei Zhang, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jianru Xue, and Nanning Zheng · 2017
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Haoye Cai, Chunyan Bai, Yu-Wing Tai, and Chi-Keung Tang · 2018
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Potion: Pose motion representation for action recognition
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, and Cordelia Schmid · 2018
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Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
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A large-scale rgb-d database for arbitrary-view human action recognition
Yanli Ji, Feixiang Xu, Yang Yang, Fumin Shen, Heng Tao Shen, and Wei-Shi Zheng · 2018
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Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
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Matthias Plappert, Christian Mandery, and Tamim Asfour · 2018
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Dance with melody: An lstm-autoencoder approach to music-oriented dance synthesis
Taoran Tang, Jia Jia, and Hanyang Mao · 2018
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Deep progressive reinforcement learning for skeleton-based action recognition
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Timo von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Paired recurrent autoencoders for bidirectional translation between robot actions and linguistic descriptions
Tatsuro Yamada, Hiroyuki Matsunaga, and Tetsuya Ogata · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Structure-aware human-action generation
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Humbi: A large multiview dataset of human body expressions
Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, and Hyun Soo Park · 2020
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Object-occluded human shape and pose estimation from a single color image
Tianshu Zhang, Buzhen Huang, and Yangang Wang · 2020
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Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, et al · 2021
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Monocular 3d pose and shape estimation of multiple people in natural scenes-the importance of multiple scene constraints
Andrei Zanfir, Elisabeta Marinoiu, and Cristian Sminchisescu · 2018
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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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Holopose: Holistic 3d human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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A large-scale varying-view rgb-d action dataset for arbitrary-view human action recognition
Yanli Ji, Feixiang Xu, Yang Yang, Fumin Shen, Heng Tao Shen, and Wei-Shi Zheng · 2019
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Skeleton-aware 3d human shape reconstruction from point clouds
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Learning 3d human dynamics from video
Angjoo Kanazawa, Jason Y Zhang, Panna Felsen, and Jitendra Malik · 2019
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Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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Channel-wise topology refinement graph convolution for skeleton-based action recognition
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Beyond static features for temporally consistent 3d human pose and shape from a video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2021
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Revitalizing optimization for 3d human pose and shape estimation: a sparse constrained formulation
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Aifit: Automatic 3d human-interpretable feedback models for fitness training
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Synthesis of compositional animations from textual descriptions
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Garment4d: Garment reconstruction from point cloud sequences
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Pare: Part attention regressor for 3d human body estimation
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Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
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Votehmr: Occlusion-aware voting network for robust 3d human mesh recovery from partial point clouds
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Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
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Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
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Babel: Bodies, action and behavior with english labels
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Learning transferable visual models from natural language supervision
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Locally aware piecewise transformation fields for 3d human mesh registration
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Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors
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Lightweight multi-person total motion capture using sparse multi-view cameras
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Humman: Multi-modal 4d human dataset for versatile sensing and modeling
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