Multi-View Saliency Guided Deep Neural Network for 3-D Object Retrieval and Classification
暂无分享,去创建一个
Anan Liu | Weizhi Nie | Jie Nie | Heyu Zhou | Anan Liu | Weizhi Nie | Jie Nie | Heyu Zhou
[1] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[2] Karthik Ramani,et al. Deep Learning 3D Shape Surfaces Using Geometry Images , 2016, ECCV.
[3] Ioannis Pratikakis,et al. Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval , 2017, 3DOR@Eurographics.
[4] Whoi-Yul Kim,et al. A region-based shape descriptor using Zernike moments , 2000, Signal Process. Image Commun..
[5] Ryutarou Ohbuchi,et al. Salient local visual features for shape-based 3D model retrieval , 2008, 2008 IEEE International Conference on Shape Modeling and Applications.
[6] Subhransu Maji,et al. Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] 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).
[8] Yi Fang,et al. 3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks , 2017, ArXiv.
[9] Chang-Hsing Lee,et al. A new 3D model retrieval approach based on the elevation descriptor , 2007, Pattern Recognit..
[10] Hamid Laga,et al. Covariance-Based Descriptors for Efficient 3D Shape Matching, Retrieval, and Classification , 2015, IEEE Transactions on Multimedia.
[11] Xindong Wu,et al. 3-D Object Retrieval With Hausdorff Distance Learning , 2014, IEEE Transactions on Industrial Electronics.
[12] Ryutarou Ohbuchi,et al. Lightweight Binary Voxel Shape Features for 3D Data Matching and Retrieval , 2015, 2015 IEEE International Conference on Multimedia Big Data.
[13] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Yuting Su,et al. Graph-based characteristic view set extraction and matching for 3D model retrieval , 2015, Inf. Sci..
[15] 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).
[16] Hiroshi Murase,et al. Visual learning and recognition of 3-d objects from appearance , 2005, International Journal of Computer Vision.
[17] Yasuyuki Matsushita,et al. RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints , 2016, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Ming Ouhyoung,et al. On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.
[19] Yue Gao,et al. 3-D Object Retrieval and Recognition With Hypergraph Analysis , 2012, IEEE Transactions on Image Processing.
[20] 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).
[21] Xiangyu Wang,et al. 3D Model Retrieval with Weighted Locality-constrained Group Sparse Coding , 2015, Neurocomputing.
[22] 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).
[23] Luc Van Gool,et al. Hough Transform and 3D SURF for Robust Three Dimensional Classification , 2010, ECCV.
[24] Taku Komura,et al. Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.
[25] Bo Li,et al. Large-Scale 3D Shape Retrieval from ShapeNet Core55 , 2016, 3DOR@Eurographics.
[26] Mohamed Daoudi,et al. A Bayesian 3-D Search Engine Using Adaptive Views Clustering , 2007, IEEE Transactions on Multimedia.
[27] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[28] Yu-Ting Su,et al. View-Based 3-D Model Retrieval: A Benchmark , 2018, IEEE Transactions on Cybernetics.
[29] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[30] 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).
[31] Meng Wang,et al. Multi-View Object Retrieval via Multi-Scale Topic Models , 2016, IEEE Transactions on Image Processing.
[32] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[33] Tinne Tuytelaars,et al. Sketch classification and classification-driven analysis using Fisher vectors , 2014, ACM Trans. Graph..
[34] Yue Gao,et al. Multi-Modal Clique-Graph Matching for View-Based 3D Model Retrieval , 2016, IEEE Transactions on Image Processing.
[35] Ludovico Minto,et al. Deep learning for 3D shape classification from multiple depth maps , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[36] Qi Tian,et al. Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[37] 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).
[38] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[39] Dong Wang,et al. Learning Descriptors With Cube Loss for View-Based 3-D Object Retrieval , 2019, IEEE Transactions on Multimedia.
[40] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[41] Iasonas Kokkinos,et al. Intrinsic shape context descriptors for deformable shapes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[42] C. Lee Giles,et al. Learning a Hierarchical Latent-Variable Model of 3D Shapes , 2017, 2018 International Conference on 3D Vision (3DV).
[43] Minh N. Do,et al. 2D Image-Based 3D Scene Retrieval , 2018, 3DOR@Eurographics.
[44] Yue Gao,et al. 3D model retrieval using weighted bipartite graph matching , 2011, Signal Process. Image Commun..
[45] Minh N. Do,et al. RGB-D Object-to-CAD Retrieval , 2018, 3DOR@Eurographics.
[46] Shagan Sah,et al. General-Purpose Deep Point Cloud Feature Extractor , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[47] Wei An,et al. BV-CNNs: Binary Volumetric Convolutional Networks for 3D Object Recognition , 2017, BMVC.