Skeleton-Aided Articulated Motion Generation
暂无分享,去创建一个
Bingbing Ni | Xiaokang Yang | Yichao Yan | Jingwei Xu | Wendong Zhang | Xiaokang Yang | Bingbing Ni | Jingwei Xu | Yichao Yan | Wendong Zhang
[1] Honghai Liu,et al. Advances in View-Invariant Human Motion Analysis: A Review , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[2] Mohan M. Trivedi,et al. Human Body Model Acquisition and Tracking Using Voxel Data , 2003, International Journal of Computer Vision.
[3] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[4] Yin Li,et al. An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments , 2009, ACCV.
[5] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[6] Antonio Torralba,et al. Generating Videos with Scene Dynamics , 2016, NIPS.
[7] Andrew Brock,et al. Neural Photo Editing with Introspective Adversarial Networks , 2016, ICLR.
[8] Nitish Srivastava,et al. Unsupervised Learning of Video Representations using LSTMs , 2015, ICML.
[9] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[10] Gérard G. Medioni,et al. Structured Time Series Analysis for Human Action Segmentation and Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Yann LeCun,et al. Deep multi-scale video prediction beyond mean square error , 2015, ICLR.
[12] Honglak Lee,et al. Attribute2Image: Conditional Image Generation from Visual Attributes , 2015, ECCV.
[13] Thomas S. Huang,et al. Model-based human body tracking , 2002, Object recognition supported by user interaction for service robots.
[14] Yann LeCun,et al. Energy-based Generative Adversarial Network , 2016, ICLR.
[15] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[16] Jake K. Aggarwal,et al. Human Motion Analysis: A Review , 1999, Comput. Vis. Image Underst..
[17] R. F. Rashid,et al. Towards a system for the interpretation of moving light displays , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Michael J. Black,et al. Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[19] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Peter Kulchyski. and , 2015 .
[21] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[23] Ronald Poppe,et al. Vision-based human motion analysis: An overview , 2007, Comput. Vis. Image Underst..
[24] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] David Salesin,et al. Panoramic video textures , 2005, ACM Trans. Graph..
[26] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
[29] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[30] Sergey Levine,et al. Unsupervised Learning for Physical Interaction through Video Prediction , 2016, NIPS.
[31] Guo-Jun Qi,et al. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities , 2017, International Journal of Computer Vision.
[32] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Jiajun Wu,et al. Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks , 2016, NIPS.
[34] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[35] Neel Joshi,et al. Automated video looping with progressive dynamism , 2013, ACM Trans. Graph..
[36] Richard Szeliski,et al. Video textures , 2000, SIGGRAPH.
[37] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[38] Martial Hebert,et al. An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders , 2016, ECCV.
[39] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[40] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[41] Marc'Aurelio Ranzato,et al. Video (language) modeling: a baseline for generative models of natural videos , 2014, ArXiv.
[42] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[44] William T. Freeman,et al. Bayesian Reconstruction of 3D Human Motion from Single-Camera Video , 1999, NIPS.
[45] Ruben Villegas,et al. Learning to Generate Long-term Future via Hierarchical Prediction , 2017, ICML.
[46] Vighnesh Birodkar,et al. Unsupervised Learning of Disentangled Representations from Video , 2017, NIPS.
[47] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[48] James A. Reggia,et al. Robust human action recognition via long short-term memory , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[49] Luc Van Gool,et al. Markerless tracking of complex human motions from multiple views , 2006, Comput. Vis. Image Underst..
[50] Petros Daras,et al. Real-Time Skeleton-Tracking-Based Human Action Recognition Using Kinect Data , 2014, MMM.
[51] Xi Wang,et al. Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification , 2015, ACM Multimedia.
[52] Hyunsoo Kim,et al. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks , 2017, ICML.
[53] Adrian Hilton,et al. Viewpoint invariant exemplar-based 3D human tracking , 2006, Comput. Vis. Image Underst..
[54] Marc'Aurelio Ranzato,et al. Transformation-Based Models of Video Sequences , 2017, ArXiv.
[55] Gabriel Kreiman,et al. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning , 2016, ICLR.
[56] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.