FAUST: Dataset and Evaluation for 3D Mesh Registration, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.491
Learning shape correspondence with anisotropic convolutional neural networks, 2016. ,
Spectral networks and locally connected networks on graphs, ICLR, 2014. ,
Convolutional neural networks on graphs with fast localized spectral filtering, NIPS, 2016. ,
Learning a Predictable and Generative Vector Representation for Objects, ECCV, 2016. ,
DOI : 10.1007/978-3-319-10599-4_31
URL : http://arxiv.org/abs/1603.08637
Identity Mappings in Deep Residual Networks, ECCV, 2016. ,
DOI : 10.1007/978-3-319-46493-0_38
URL : http://arxiv.org/abs/1603.05027
Deep convolutional networks on graph-structured data, 2015. ,
Adam: A method for stochastic optimization, ICLR, 2015. ,
Semi-supervised classification with graph convolutional networks, ICLR, 2017. ,
Escape from cells: Deep kd-networks for the recognition of 3D point cloud models, 2017. ,
Deep learning, Nature, vol.9, issue.7553, pp.436-444, 2015. ,
DOI : 10.1007/s10994-013-5335-x
Gradient-based learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.1115
Geometric deep learning on graphs and manifolds using mixture model CNNs, CVPR, 2017. ,
Analysis of CNN-based speech recognition system using raw speech as input, InterSpeech, 2015. ,
Pointnet: Deep learning on point sets for 3d classification and segmentation. arXiv preprint, 2016. ,
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, NIPS, 2015. ,
DOI : 10.1109/TPAMI.2016.2577031
URL : http://arxiv.org/abs/1506.01497
Collective classification in network data, AI magazine, vol.29, issue.3, p.93, 2008. ,
Deep Learning 3D Shape Surfaces Using Geometry Images, ECCV, 2016. ,
DOI : 10.1007/978-3-319-46466-4_14
Learning Spatiotemporal Features with 3D Convolutional Networks, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.510
URL : http://arxiv.org/abs/1412.0767
Product manifold filter: Non-rigid shape correspondence via kernel density estimation in the product space. arXiv preprint, 2017. ,
Dense Human Body Correspondences Using Convolutional Networks, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.171
URL : http://arxiv.org/abs/1511.05904
Show, attend and tell: Neural image caption generation with visual attention, ICML, 2015. ,
Revisiting semi-supervised learning with graph embeddings, ICML, 2016. ,
Multi-scale context aggregation by dilated convolutions, ICLR, 2016. ,