Fetching the paper…
Reading the bibliography…
Action recognition based on skeleton data has recently witnessed increasing attention and progress.
From actemes to action: A strongly-supervised representation for detailed action understanding
W. Zhang, M. Zhu, and K. G. Derpanis · 2013
Earlier work this paper cites.
Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
Earlier work this paper cites.
Human action recognition by representing 3D skeletons as points in a lie group
Raviteja Vemulapalli, Felipe Arrate, and Rama Chellappa · 2014
Earlier work this paper cites.
Cross-view action modeling, learning and recognition
Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, and Song-Chun Zhu · 2014
Earlier work this paper cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Earlier work this paper cites.
Regularizing long short term memory with 3D human-skeleton sequences for action recognition
Behrooz Mahasseni and S. Todorovic · 2016
Earlier work this paper cites.
Ntu rgb+d: A large scale dataset for 3D human activity analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang · 2016
Earlier work this paper cites.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Earlier work this paper cites.
RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Earlier work this paper cites.
Interpretable 3D human action analysis with temporal convolutional networks
T. S. Kim and A. Reiter · 2017
Earlier work this paper cites.
An end-to-end spatio-temporal attention model for human action recognition from skeleton data
Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, and Jiaying Liu · 2017
Earlier work this paper cites.
Can spatiotemporal 3D cnns retrace the history of 2D cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2018
Earlier work this paper cites.
Co-occurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation
Chao Li, Qiaoyong Zhong, Di Xie, and S. Pu · 2018
Earlier work this paper cites.
From attribute-labels to faces: face generation using a conditional generative adversarial network
Yaohui Wang, Antitza Dantcheva, and Francois Bremond · 2018
Earlier work this paper cites.
Memory attention networks for skeleton-based action recognition
Chunyu Xie, Ce Li, B. Zhang, Chen Chen, Jungong Han, Changqing Zou, and Jianzhuang Liu · 2018
Earlier work this paper cites.
Spatial temporal graph convolutional networks for skeleton-based action recognition
S. Yan, Yuanjun Xiong, and D. Lin · 2018
Earlier work this paper cites.
Skeleton image representation for 3D action recognition based on tree structure and reference joints
C. Caetano, F. Brémond, and W. 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.
A short note on the kinetics-700 human action dataset
Joao Carreira, Eric Noland, Chloe Hillier, and Andrew Zisserman · 2019
Cited alongside, same era.
Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A. Efros · 2019
Cited alongside, same era.
Toyota smarthome: Real-world activities of daily living
Srijan Das, Rui Dai, Michal Koperski, Luca Minciullo, Lorenzo Garattoni, Francois Bremond, and Gianpiero Francesca · 2019
Cited alongside, same era.
Optimized skeleton-based action recognition via sparsified graph regression
Ntu rgb+d 120: A large-scale benchmark for 3D human activity understanding
J. Liu, A. Shahroudy, M. Perez, G. Wang, L. Y. Duan, and A. C. Kot · 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.
Multi-task deep learning for real-time 3D human pose estimation and action recognition
D. Luvizon, D. Picard, and H. Tabia · 2020
Later among the works it cites.
Learning graph convolutional network for skeleton-based human action recognition by neural searching
W. Peng, Xiaopeng Hong, H. Chen, and G. Zhao · 2020
Later among the works it cites.
Assemblenet++: Assembling modality representations via attention connections
M. Ryoo, A. Piergiovanni, Juhana Kangaspunta, and A. Angelova · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
X. Gao, W. Hu, Jiaxiang Tang, J. Liu, and Zongming Guo · 2019
Cited alongside, same era.
Actional-structural graph convolutional networks for skeleton-based action recognition
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian · 2019
Cited alongside, same era.
3D human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
Cited alongside, same era.
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
Grégory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2019
Cited alongside, same era.
Skeleton-based action recognition with directed graph neural networks
L. Shi, Yifan Zhang, Jian Cheng, and H. Lu · 2019
Cited alongside, same era.
Two-stream adaptive graph convolutional networks for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
Cited alongside, same era.
Sparse coding of shape trajectories for facial expression and action recognition
Amor Ben Tanfous, Hassen Drira, and Boulbaba Ben Amor · 2019
Cited alongside, same era.
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing LU · 2020
Later among the works it cites.
View-invariant probabilistic embedding for human pose
Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, and Ting Liu · 2020
Later among the works it cites.
G3AN: Disentangling appearance and motion for video generation
Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva · 2020
Later among the works it cites.
ImaGINator: Conditional spatio-temporal gan for video generation
Yaohui WANG, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva · 2020
Later among the works it cites.
Quo vadis, skeleton action recognition ?
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal, Shubh Maheshwari, Neel Trivedi, Sourav Das, and Ravi Kiran Sarvadevabhatla · 2021
Closest in time.
3d human action representation learning via cross-view consistency pursuit
Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, and Wenjun Zhang · 2021
Closest in time.
Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles
Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, and Zhiheng Li · 2021
Closest in time.
Recognizing actions in videos from unseen viewpoints
AJ Piergiovanni and Michael S. Ryoo · 2021
Closest in time.
Inmodegan: Interpretable motion decomposition generative adversarial network for video generation
Yaohui Wang, Francois Bremond, and Antitza Dantcheva · 2021
Closest in time.
Selective spatio-temporal aggregation based pose refinement system: Towards understanding human activities in real-world videos
Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, and Francois Bremond · 2021
Closest in time.