motion capture

Deep Representation Learning for Human Motion Prediction and Classification CVPR 2017 Discovering Action Primitive Granularity from Human Motion for Human-Robot Collaboration RSS 2017 Learning From Synthetic Humans CVPR 2017 Self-supervised Learning of Motion Capture NeurIPS 2017 Surface Motion Capture Transfer With Gaussian Process Regression CVPR 2017 Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017 An Inverse Optimal Control Approach for the Transfer of Human Walking Motions in Constrained Environment to Humanoid Robots RSS 2016 Head Motion Generation with Synthetic Speech: A Data Driven Approach Interspeech 2016 MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NeurIPS 2016 Use of Agreement/Disagreement Classification in Dyadic Interactions for Continuous Emotion Recognition Interspeech 2016 Bayesian Non-Parametric Inference for Manifold Based MoCap Representation ICCV 2015 Detailed Full-Body Reconstructions of Moving People From Monocular RGB-D Sequences ICCV 2015 Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction CVPR 2015 Recurrent Network Models for Human Dynamics ICCV 2015 3D Pose from Motion for Cross-view Action Recognition via Non-linear Circulant Temporal Encoding CVPR 2014 Efficient Nonlinear Markov Models for Human Motion CVPR 2014 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 A Denoising View of Matrix Completion NeurIPS 2011 Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011 Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NeurIPS 2010