RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-View Images
暂无分享,去创建一个
Yasuyuki Matsushita | Yoshifumi Nishida | Asako Kanezaki | Y. Matsushita | Y. Nishida | Asako Kanezaki
[1] Hao Su,et al. SHREC ’ 17 Track Large-Scale 3 D Shape Retrieval from ShapeNet Core 55 , 2016 .
[2] José García Rodríguez,et al. PointNet: A 3D Convolutional Neural Network for real-time object class recognition , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[3] Xiaogang Wang,et al. Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations , 2014, NIPS.
[4] Ahmed M. Elgammal,et al. Untangling Object-View Manifold for Multiview Recognition and Pose Estimation , 2014, ECCV.
[5] Alexander J. Smola,et al. Deep Sets , 2017, 1703.06114.
[6] Leonidas J. Guibas,et al. Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] Kaleem Siddiqi,et al. Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition , 2019, BMVC.
[8] Lucas Paletta,et al. Active object recognition by view integration and reinforcement learning , 2000, Robotics Auton. Syst..
[9] Daniel Cremers,et al. LSD-SLAM: Large-Scale Direct Monocular SLAM , 2014, ECCV.
[10] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Ahmed M. Elgammal,et al. Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis , 2013, AAAI.
[12] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Leonidas J. Guibas,et al. 3D-Assisted Feature Synthesis for Novel Views of an Object , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Bo Li,et al. RGB-D to CAD Retrieval with ObjectNN Dataset , 2017, 3DOR@Eurographics.
[15] Nikos Komodakis,et al. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Andrea Vedaldi,et al. Learning 3D Object Categories by Looking Around Them , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] Kristen Grauman,et al. Inferring Unseen Views of People , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Theodore Lim,et al. Generative and Discriminative Voxel Modeling with Convolutional Neural Networks , 2016, ArXiv.
[19] Subhransu Maji,et al. A Deeper Look at 3D Shape Classifiers , 2018, ECCV Workshops.
[20] Reza Bosagh Zadeh,et al. FusionNet: 3D Object Classification Using Multiple Data Representations , 2016, ArXiv.
[21] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[22] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[23] Lucas Paletta,et al. Appearance-based active object recognition , 2000, Image Vis. Comput..
[24] Leonidas J. Guibas,et al. FPNN: Field Probing Neural Networks for 3D Data , 2016, NIPS.
[25] Ahmed M. Elgammal,et al. A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation , 2016, ICML.
[26] Longin Jan Latecki,et al. GIFT: A Real-Time and Scalable 3D Shape Search Engine , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Subhransu Maji,et al. Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Karthik Ramani,et al. Deep Learning 3D Shape Surfaces Using Geometry Images , 2016, ECCV.
[29] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[30] 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).
[31] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[32] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[33] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Ludovico Minto,et al. Deep learning for 3D shape classification from multiple depth maps , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[35] Sebastian Scherer,et al. VoxNet: A 3D Convolutional Neural Network for real-time object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[36] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[37] Victor S. Lempitsky,et al. Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[38] Dieter Fox,et al. A Scalable Tree-Based Approach for Joint Object and Pose Recognition , 2011, AAAI.
[39] Zhichao Zhou,et al. DeepPano: Deep Panoramic Representation for 3-D Shape Recognition , 2015, IEEE Signal Processing Letters.
[40] Andrea Vedaldi,et al. Interpretable Explanations of Black Boxes by Meaningful Perturbation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[41] Thomas Brox,et al. Orientation-boosted Voxel Nets for 3D Object Recognition , 2016, BMVC.
[42] Xiang Li,et al. Toward real-time 3D object recognition: A lightweight volumetric CNN framework using multitask learning , 2017, Comput. Graph..
[43] Silvio Savarese,et al. 3D generic object categorization, localization and pose estimation , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[44] Stefan Leutenegger,et al. Pairwise Decomposition of Image Sequences for Active Multi-view Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Bodo Rosenhahn,et al. Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach , 2016, AAAI.
[47] Xu Xu,et al. Beam search for learning a deep Convolutional Neural Network of 3D shapes , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[48] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.