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Human skeleton, as a compact representation of human action, has received increasing attention in recent years.
Hmdb: a large video database for human motion recognition
Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre · 2011
Earlier work this paper cites.
3d convolutional neural networks for human action recognition
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Mining actionlet ensemble for action recognition with depth cameras
Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan · 2012
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Microsoft kinect sensor and its effect
Zhengyou Zhang · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Human action recognition by representing 3d skeletons as points in a lie group
Raviteja Vemulapalli, Felipe Arrate, and Rama Chellappa · 2014
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Hierarchical recurrent neural network for skeleton based action recognition
Yong Du, Wei Wang, and Liang Wang · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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A hierarchical deep temporal model for group activity recognition
Mostafa S Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, and Greg Mori · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Ntu rgb+d: A large scale dataset for 3d human activity analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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3d cnns on distance matrices for human action recognition
Alejandro Hernandez Ruiz, Lorenzo Porzi, Samuel Rota Bulò, and Francesc Moreno-Noguer · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Earlier work this paper cites.
A new representation of skeleton sequences for 3d action recognition
Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, and Farid Boussaid · 2017
Earlier work this paper cites.
Two-stream 3d convolutional neural network for skeleton-based action recognition
Hong Liu, Juanhui Tu, and Mengyuan Liu · 2017
Earlier work this paper cites.
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J Little · 2017
Earlier work this paper cites.
Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Potion: Pose motion representation for action recognition
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, and Cordelia Schmid · 2018
Cited alongside, same era.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2018
Cited alongside, same era.
High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu · 2018
Cited alongside, same era.
Chao Li, Qiaoyong Zhong, Di Xie, and Shiliang Pu · 2018
Cited alongside, same era.
2d/3d pose estimation and action recognition using multitask deep learning
Diogo C Luvizon, David Picard, and Hedi Tabia · 2018
Cited alongside, same era.
Openmmlab’s next generation video understanding toolbox and benchmark
MMAction2 Contributors · 2020
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Vpn: Learning video-pose embedding for activities of daily living
Srijan Das, Saurav Sharma, Rui Dai, Francois Bremond, and Monique Thonnat · 2020
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Hierarchical action classification with network pruning
Mahdi Davoodikakhki and KangKang Yin · 2020
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Omni-sourced webly-supervised learning for video recognition
Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, and Dahua Lin · 2020
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X3d: Expanding architectures for efficient video recognition
Christoph Feichtenhofer · 2020
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Mmtm: Multimodal transfer module for cnn fusion
Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L Iuzzolino, and Kazuhito Koishida · 2020
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A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Cited alongside, same era.
Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
Cited alongside, same era.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Cited alongside, same era.
Skelemotion: A new representation of skeleton joint sequences based on motion information for 3d action recognition
Carlos Caetano, Jessica Sena, François Brémond, Jefersson A Dos Santos, and William Robson Schwartz · 2019
Cited alongside, same era.
Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh · 2019
Cited alongside, same era.
Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Cited alongside, same era.
Spatio-temporal graph routing for skeleton-based action recognition
Bin Li, Xi Li, Zhongfei Zhang, and Fei Wu · 2019
Cited alongside, same era.
Later among the works it cites.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 2020
Later among the works it cites.
Image-based pose representation for action recognition and hand gesture recognition
Zeyi Lin, Wei Zhang, Xiaoming Deng, Cuixia Ma, and Hongan Wang · 2020
Later among the works it cites.
Disentangling and unifying graph convolutions for skeleton-based action recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, and Wanli Ouyang · 2020
Later among the works it cites.
Finegym: A hierarchical video dataset for fine-grained action understanding
Dian Shao, Yue Zhao, Bo Dai, and Dahua Lin · 2020
Later among the works it cites.
Decoupled spatial-temporal attention network for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2020
Later among the works it cites.
Richly activated graph convolutional network for robust skeleton-based action recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan, and Liang Wang · 2020
Later among the works it cites.
Stronger, faster and more explainable: A graph convolutional baseline for skeleton-based action recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan, and Liang Wang · 2020
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Dope: Distillation of part experts for whole-body 3d pose estimation in the wild
Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, and Grégory Rogez · 2020
Later among the works it cites.
Audiovisual slowfast networks for video recognition
Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, and Christoph Feichtenhofer · 2020
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Feedback graph convolutional network for skeleton-based action recognition
Hao Yang, Dan Yan, Li Zhang, Dong Li, YunDa Sun, ShaoDi You, and Stephen J Maybank · 2020
Later among the works it cites.
Jolo-gcn: mining joint-centered light-weight information for skeleton-based action recognition
Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, and Jiangbo Lu · 2021
Closest in time.
Channel-wise topology refinement graph convolution for skeleton-based action recognition
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, and Weiming Hu · 2021
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Vpn++: Rethinking video-pose embeddings for understanding activities of daily living
Srijan Das, Rui Dai, Di Yang, and Francois Bremond · 2021
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Quo vadis, skeleton action recognition?
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, and Ravi Kiran Sarvadevabhatla · 2021
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Learning self-similarity in space and time as generalized motion for action recognition
Heeseung Kwon, Manjin Kim, Suha Kwak, and Minsu Cho · 2021
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Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2021
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Constructing stronger and faster baselines for skeleton-based action recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan, and Liang Wang · 2021
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Mimetics: Towards understanding human actions out of context
Philippe Weinzaepfel and Grégory Rogez · 2021
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