Few‐shot Learning of Homogeneous Human Locomotion Styles
暂无分享,去创建一个
Taku Komura | He Zhang | Sebastian Starke | Hakan Bilen | I. Mason | Hakan Bilen | T. Komura | He Zhang | S. Starke | I. Mason
[1] Rich Caruana,et al. Learning Many Related Tasks at the Same Time with Backpropagation , 1994, NIPS.
[2] Andrea Vedaldi,et al. Learning multiple visual domains with residual adapters , 2017, NIPS.
[3] Olivier Sigaud,et al. Tensor Based Knowledge Transfer Across Skill Categories for Robot Control , 2017, IJCAI.
[4] Quoc V. Le,et al. Do Better ImageNet Models Transfer Better? , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[6] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[7] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[8] Andrea Vedaldi,et al. Efficient Parametrization of Multi-domain Deep Neural Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Ruben Villegas,et al. Neural Kinematic Networks for Unsupervised Motion Retargetting , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[11] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[12] Taku Komura,et al. Phase-functioned neural networks for character control , 2017, ACM Trans. Graph..
[13] Jovan Popovic,et al. Style translation for human motion , 2005, ACM Trans. Graph..
[14] Danica Kragic,et al. Deep Representation Learning for Human Motion Prediction and Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] C. K. Liu,et al. Learning physics-based motion style with nonlinear inverse optimization , 2005, SIGGRAPH 2005.
[17] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[18] Niloy J. Mitra,et al. Spectral style transfer for human motion between independent actions , 2016, ACM Trans. Graph..
[19] Serge J. Belongie,et al. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[20] Tomohiko Mukai,et al. Geostatistical motion interpolation , 2005, SIGGRAPH '05.
[21] Ali Borji,et al. Pros and Cons of GAN Evaluation Measures , 2018, Comput. Vis. Image Underst..
[22] Geoffrey E. Hinton,et al. Factored conditional restricted Boltzmann Machines for modeling motion style , 2009, ICML '09.
[23] Luca Bertinetto,et al. Learning feed-forward one-shot learners , 2016, NIPS.
[24] Taku Komura,et al. A Deep Learning Framework for Character Motion Synthesis and Editing , 2016, ACM Trans. Graph..
[25] Michael F. Cohen,et al. Verbs and Adverbs: Multidimensional Motion Interpolation , 1998, IEEE Computer Graphics and Applications.
[26] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[27] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[28] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Leon A. Gatys,et al. A Neural Algorithm of Artistic Style , 2015, ArXiv.
[30] Glen Berseth,et al. DeepLoco , 2017, ACM Trans. Graph..
[31] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[32] Jessica K. Hodgins,et al. Realtime style transfer for unlabeled heterogeneous human motion , 2015, ACM Trans. Graph..
[33] C. Karen Liu,et al. Learning physics-based motion style with nonlinear inverse optimization , 2005, ACM Trans. Graph..
[34] Lior Wolf,et al. A Universal Music Translation Network , 2018, ICLR.
[35] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[36] Yi Zhou,et al. Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis , 2017, ArXiv.
[37] Taku Komura,et al. Fast Neural Style Transfer for Motion Data , 2017, IEEE Computer Graphics and Applications.
[38] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[39] Ralph Gross,et al. The CMU Motion of Body (MoBo) Database , 2001 .
[40] Yuval Tassa,et al. Learning human behaviors from motion capture by adversarial imitation , 2017, ArXiv.
[41] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.