Attentional ShapeContextNet for Point Cloud Recognition
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Sainan Liu | Zeyu Chen | Saining Xie | Zhuowen Tu | Saining Xie | Z. Tu | Sainan Liu | Zeyu Chen
[1] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Silvio Savarese,et al. 3D Semantic Parsing of Large-Scale Indoor Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[5] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[6] Leonidas J. Guibas,et al. A scalable active framework for region annotation in 3D shape collections , 2016, ACM Trans. Graph..
[7] Ming Ouhyoung,et al. On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.
[8] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[9] Xiaowu Chen,et al. 3D Mesh Labeling via Deep Convolutional Neural Networks , 2015, ACM Trans. Graph..
[10] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[11] Hao Su,et al. SHREC ’ 17 Track Large-Scale 3 D Shape Retrieval from ShapeNet Core 55 , 2016 .
[12] Xinguo Liu,et al. Interactive shape co-segmentation via label propagation , 2014, Comput. Graph..
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[15] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[16] Nico Blodow,et al. Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[17] Subhransu Maji,et al. Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Yann Dauphin,et al. Language Modeling with Gated Convolutional Networks , 2016, ICML.
[20] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Chen Sun,et al. Rethinking Spatiotemporal Feature Learning For Video Understanding , 2017, ArXiv.
[22] Haibin Ling,et al. Shape Classification Using the Inner-Distance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[25] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[26] Giovanni Montana,et al. Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks , 2015, ICPRAM 2015.
[27] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[30] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Marcel Körtgen,et al. 3D Shape Matching with 3D Shape Contexts , 2003 .
[32] Hao Chen,et al. 3D deeply supervised network for automated segmentation of volumetric medical images , 2017, Medical Image Anal..
[33] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[34] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[35] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Henryk Sienkiewicz,et al. Quo Vadis? , 1967, American Association of Industrial Nurses journal.
[37] Тараса Шевченка,et al. Quo vadis? , 2013, Clinical chemistry.
[38] Yann LeCun,et al. A Closer Look at Spatiotemporal Convolutions for Action Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Ingmar Posner,et al. Voting for Voting in Online Point Cloud Object Detection , 2015, Robotics: Science and Systems.