Fetching the paper…
Reading the bibliography…
Human motion prediction aims at generating future frames of human motion based on an observed sequence of skeletons.
Human motion analysis: A review
Jake K Aggarwal and Quin Cai · 1997
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Practical parameterization of rotations using the exponential map
F Sebastian Grassia · 1998
Earlier work this paper cites.
Style machines
Matthew Brand and Aaron Hertzmann · 2000
Earlier work this paper cites.
Modeling human motion using binary latent variables
Graham W Taylor, Geoffrey E Hinton, and Sam T Roweis · 2007
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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.
3d human pose estimation from monocular images with deep convolutional neural network
Sijin Li and Antoni B Chan · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Cited alongside, same era.
Human action recognition by representing 3d skeletons as points in a lie group
Raviteja Vemulapalli, Felipe Arrate, and Rama Chellappa · 2014
Cited alongside, same era.
Learning actionlet ensemble for 3d human action recognition
Jiang Wang, Zicheng Liu, and Ying Wu · 2014
Cited alongside, same era.
Hierarchical recurrent neural network for skeleton based action recognition
Yong Du, Wei Wang, and Liang Wang · 2015
Cited alongside, same era.
Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
Spatio-temporal lstm with trust gates for 3d human action recognition
Jun Liu, Amir Shahroudy, Dong Xu, and Gang Wang · 2016
Later among the works it cites.
A dual-source approach for 3d pose estimation from a single image
Hashim Yasin, Umar Iqbal, Bjorn Kruger, Andreas Weber, and Juergen Gall · 2016
Later among the works it cites.
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, and Jürgen Schmidhuber · 2016
Later among the works it cites.
Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 2017
Later among the works it cites.
Deep learning on lie groups for skeleton-based action recognition
Zhiwu Huang, Chengde Wan, Thomas Probst, and Luc Van Gool · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Jointly learning heterogeneous features for rgb-d activity recognition
Jian-Fang Hu, Wei-Shi Zheng, Jianhuang Lai, and Jianguo Zhang · 2015
Cited alongside, same era.
Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 2016
Cited alongside, same era.
Julieta Martinez, Michael J Black, and Javier Romero · 2017
Later among the works it cites.
Learning to fuse 2d and 3d image cues for monocular body pose estimation
Bugra Tekin, Pablo Marquez Neila, Mathieu Salzmann, and Pascal Fua · 2017
Later among the works it cites.
Auto-conditioned lstm network for extended complex human motion synthesis
Li Zimo, Yi Xiao, He Chong, and Li Hao · 2017
Later among the works it cites.