On Human Motion Prediction Using Recurrent Neural Networks
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[1] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] David J. Fleet,et al. 3D People Tracking with Gaussian Process Dynamical Models , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[3] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] Mark H. Overmars,et al. Real Time Animation of Virtual Humans: A Trade‐off Between Naturalness and Control , 2010, Comput. Graph. Forum.
[5] Okan Arikan,et al. Interactive motion generation from examples , 2002, ACM Trans. Graph..
[6] Konrad Paul Kording,et al. The statistics of natural hand movements , 2008, Experimental Brain Research.
[7] Jessica K. Hodgins,et al. Interactive control of avatars animated with human motion data , 2002, SIGGRAPH.
[8] Alex Graves,et al. Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.
[9] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[10] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[11] Luc Van Gool,et al. Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities , 2011, NIPS.
[12] Yuandong Tian,et al. Simple Baseline for Visual Question Answering , 2015, ArXiv.
[13] Vladimir Pavlovic,et al. Learning Switching Linear Models of Human Motion , 2000, NIPS.
[14] Aaron Hertzmann,et al. Style machines , 2000, SIGGRAPH 2000.
[15] Sebastian Nowozin,et al. A Non-parametric Bayesian Network Prior of Human Pose , 2013, 2013 IEEE International Conference on Computer Vision.
[16] Michael J. Black,et al. Parameterized Modeling and Recognition of Activities , 1999, Comput. Vis. Image Underst..
[17] Hema Swetha Koppula,et al. Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation , 2013, ICML.
[18] Cristian Sminchisescu,et al. Generative modeling for continuous non-linearly embedded visual inference , 2004, ICML.
[19] David J. Fleet,et al. Gaussian Process Dynamical Models , 2005, NIPS.
[20] Samy Bengio,et al. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks , 2015, NIPS.
[21] Rui Li,et al. Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers , 2006, ECCV.
[22] Rama Chellappa,et al. Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Yang Wang,et al. Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition , 2007, Workshop on Human Motion.
[24] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[25] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[27] Rama Chellappa,et al. Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] N. Troje. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.
[29] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[30] Yoshua Bengio,et al. Professor Forcing: A New Algorithm for Training Recurrent Networks , 2016, NIPS.
[31] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[32] Sebastian Nowozin,et al. Efficient Nonlinear Markov Models for Human Motion , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Allan Jabri,et al. Revisiting Visual Question Answering Baselines , 2016, ECCV.
[34] David J. Fleet,et al. Physics-Based Person Tracking Using the Anthropomorphic Walker , 2010, International Journal of Computer Vision.
[35] Marco La Cascia,et al. Hankelet-based dynamical systems modeling for 3D action recognition , 2015, Image Vis. Comput..
[36] Sergey Levine,et al. Continuous character control with low-dimensional embeddings , 2012, ACM Trans. Graph..
[37] Kate Saenko,et al. Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering , 2015, ECCV.
[38] Lucas Kovar,et al. Motion graphs , 2002, SIGGRAPH '08.
[39] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[40] Sanjeev Arora,et al. A Simple but Tough-to-Beat Baseline for Sentence Embeddings , 2017, ICLR.
[41] Matthias Bethge,et al. A note on the evaluation of generative models , 2015, ICLR.
[42] Mario Fritz,et al. Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[43] Stephen J. Maybank,et al. Action classification using a discriminative multilevel HDP-HMM , 2015, Neurocomputing.
[44] Behrooz Mahasseni,et al. Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] James J. Little,et al. 3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[46] Richard S. Zemel,et al. Exploring Models and Data for Image Question Answering , 2015, NIPS.
[47] David J. Fleet,et al. Temporal motion models for monocular and multiview 3D human body tracking , 2006, Comput. Vis. Image Underst..
[48] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Gang Wang,et al. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition , 2016, ECCV.
[50] Geoffrey E. Hinton,et al. Modeling Human Motion Using Binary Latent Variables , 2006, NIPS.
[51] Geoffrey J. Gordon,et al. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.
[52] Maja J. Mataric,et al. A spatio-temporal extension to Isomap nonlinear dimension reduction , 2004, ICML.