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Multi-modal human action analysis is a critical and attractive research topic.
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Actions as space-time shapes
L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri · 2007
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A 3-dimensional SIFT descriptor and its application to action recognition
P. Scovanner, S. Ali, and M. Shah · 2007
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Guide to the carnegie mellon university multimodal activity (CMU-MMAC) database
F. De la Torre, J. Hodgins, A. Bargteil, and others · 2008
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Feifei · 2009
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Action recognition based on a bag of 3D points
W. Li, Z. Zhang, and Z. Liu · 2010
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Principal component analysis
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Human activity detection from RGBD images
J. Sung, C. Ponce, B. Selman, and A. Saxena · 2011
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Human daily action analysis with multi-view and color-depth data
Z. Cheng, L. Qin, Y. Ye, Q. Huang, and Q. Tian · 2012
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UCF101: A dataset of 101 human actions classes from videos in the wild
K. Soomro, A. R. Zamir, and M. Shah · 2012
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View invariant human action recognition using histograms of 3D joints
L. Xia, C.-C. Chen, and J. Aggarwal · 2012
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Exploring the trade-off between accuracy and observational latency in action recognition
C. Ellis, S. Z. Masood, M. F. Tappen, J. J. LaViola, and R. Sukthankar · 2013
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Learning human activities and object affordances from RGB-D videos
H. S. Koppula, R. Gupta, and A. Saxena · 2013
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RGBD-HuDaAct: A color-depth video database for human daily activity recognition
B. Ni, G. Wang, and P. Moulin · 2013
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Joint angles similarities and HOG2 for action recognition
Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
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Calibration of kinect for Xbox One and comparison between the two generations of microsoft sensors
D. Pagliari and L. Pinto · 2015
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NTU RGB+D: A large scale dataset for 3D human activity analysis
A. Shahroudy, J. Liu, T.-T. Ng, and G. Wang · 2016
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Temporal segment networks: Towards good practices for deep action recognition
L. Wang, Y. Xiong, Z. Wang, Y. Qiao, D. Lin, X. Tang, and L. Van Gool · 2016
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Action recognition from depth maps using deep convolutional neural networks
P. Wang, W. Li, Z. Gao, J. Zhang, C. Tang, and P. O. Ogunbona · 2016
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E. Ohn-Bar and M. Trivedi · 2013
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HON4D: Histogram of oriented 4D normals for activity recognition from depth sequences
O. Oreifej and Z. Liu · 2013
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Research methods in biomechanics
G. Robertson, G. Caldwell, J. Hamill, G. Kamen, and S. Whittlesey · 2013
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3d with kinect
J. Smisek, M. Jancosek, and T. Pajdla · 2013
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Modeling 4D human-object interactions for event and object recognition
P. Wei, Y. Zhao, N. Zheng, and S.-C. Zhu · 2013
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Evaluation of the spatial resolution accuracy of the face tracking system for kinect for windows v1 and v2
C. Amon, F. Fuhrmann, and F. Graf · 2014
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Sequential max-margin event detectors
D. Huang, S. Yao, Y. Wang, and F. De La Torre · 2014
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J. Zhang, W. Li, P. O. Ogunbona, P. Wang, and C. Tang · 2016
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PKU-MMD: A large scale benchmark for continuous multi-modal human action understanding
L. Chunhui, H. Yueyu, L. Yanghao, S. Sijie, and L. Jiaying · 2017
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ActionVLAD: Learning spatio-temporal aggregation for action classification
R. Girdhar, D. Ramanan, A. Gupta, J. Sivic, and B. Russell · 2017
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3D CNNs on distance matrices for human action recognition
A. Hernandez Ruiz, L. Porzi, S. Rota Bulò, and F. Moreno-Noguer · 2017
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The kinetics human action video dataset
W. Kay, J. Carreira, K. Simonyan, and others · 2017
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Interpretable 3D human action analysis with temporal convolutional networks
T. Soo Kim and A. Reiter · 2017
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Modeling temporal dynamics and spatial configurations of actions using two-stream recurrent neural networks
H. Wang and L. Wang · 2017
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Dynamic 3D hand gesture recognition by learning weighted depth motion maps
R. Azad, M. Asadi-Aghbolaghi, S. Kasaei, and S. Escalera · 2018
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Adaptive graph guided embedding for multi-label annotation
L. Wang, Z. Ding, and Y. Fu · 2018
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Learning transferable subspace for human motion segmentation
L. Wang, Z. Ding, and Y. Fu · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
S. Yan, Y. Xiong, and D. Lin · 2018
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Low-rank transfer human motion segmentation
L. Wang, Z. Ding, and Y. Fu · 2019
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Generative multi-view human action recognition
L. Wang, Z. Ding, Z. Tao, Y. Liu, and Y. Fu · 2019
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Dual relation semi-supervised multi-label learning
L. Wang, Y. Liu, C. Qin, G. Sun, and Y. Fu · 2020
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