Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval
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Cheng Zhang | Biao Leng | Cheng Xu | Xiaochen Zhou | B. Leng | Xiaocheng Zhou | Cheng Zhang | Cheng Xu
[1] 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).
[2] 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).
[3] Ioannis Pratikakis,et al. PANORAMA: A 3D Shape Descriptor Based on Panoramic Views for Unsupervised 3D Object Retrieval , 2010, International Journal of Computer Vision.
[4] Abhinav Gupta,et al. Learning a Predictable and Generative Vector Representation for Objects , 2016, ECCV.
[5] Longin Jan Latecki,et al. 3D Shape Matching via Two Layer Coding , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Thomas Brox,et al. Learning to generate chairs with convolutional neural networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[8] Silvio Savarese,et al. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction , 2016, ECCV.
[9] Edward K. Wong,et al. Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Zhichao Zhou,et al. DeepPano: Deep Panoramic Representation for 3-D Shape Recognition , 2015, IEEE Signal Processing Letters.
[12] Bo Li,et al. Large-Scale 3D Shape Retrieval from ShapeNet Core55 , 2016, 3DOR@Eurographics.
[13] Song Bai,et al. Deep learning representation using autoencoder for 3D shape retrieval , 2014, Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).
[14] 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).
[15] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[16] Szymon Rusinkiewicz,et al. Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors , 2003, Symposium on Geometry Processing.
[17] Yue Gao,et al. 3-D Object Retrieval and Recognition With Hypergraph Analysis , 2012, IEEE Transactions on Image Processing.
[18] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[19] Honglak Lee,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[20] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[21] 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.
[22] Leonidas J. Guibas,et al. SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[24] Meng Wang,et al. 3D deep shape descriptor , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Yu Liu,et al. Rethinking Feature Discrimination and Polymerization for Large-scale Recognition , 2017, ArXiv.
[26] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[27] Ming Ouhyoung,et al. On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.
[28] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Yu Liu,et al. 3D object understanding with 3D Convolutional Neural Networks , 2016, Inf. Sci..
[30] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[31] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[32] Masaki Aono,et al. Food Image Recognition Using Covariance of Convolutional Layer Feature Maps , 2016, IEICE Trans. Inf. Syst..
[33] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[34] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[35] 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).
[36] Subhransu Maji,et al. Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[37] Mateu Sbert,et al. 3D shape retrieval using viewpoint information‐theoretic measures , 2013, Comput. Animat. Virtual Worlds.