A Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching
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Xiaohui Liang | Nauman Aslam | Frederick W. B. Li | Hubert P. H. Shum | Shanfeng Hu | Xiaohui Liang | N. Aslam | Shanfeng Hu
[1] Meng Wang,et al. 3D deep shape descriptor , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Michael J. Black,et al. FAUST: Dataset and Evaluation for 3D Mesh Registration , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Maks Ovsjanikov,et al. Supervised Descriptor Learning for Non-Rigid Shape Matching , 2014, ECCV Workshops.
[4] Thomas A. Funkhouser,et al. The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..
[5] Niklas Peinecke,et al. Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids , 2006, Comput. Aided Des..
[6] Yaron Lipman,et al. Exact Recovery with Symmetries for Procrustes Matching , 2016, SIAM J. Optim..
[7] Alexander I. Barvinok,et al. Problems of distance geometry and convex properties of quadratic maps , 1995, Discret. Comput. Geom..
[8] Daniel Cremers,et al. Anisotropic Diffusion Descriptors , 2016, Comput. Graph. Forum.
[9] Maks Ovsjanikov,et al. Functional maps , 2012, ACM Trans. Graph..
[10] Andrea Torsello,et al. Matching Deformable Objects in Clutter , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[11] Leonidas J. Guibas,et al. A concise and provably informative multi-scale signature based on heat diffusion , 2009 .
[12] Jianbo Shi,et al. Image Matching via Saliency Region Correspondences , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[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] Ghassan Hamarneh,et al. A Survey on Shape Correspondence , 2011, Comput. Graph. Forum.
[17] Martial Hebert,et al. Unsupervised Learning for Graph Matching , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[19] Leonidas J. Guibas,et al. Functional Characterization of Intrinsic and Extrinsic Geometry , 2017, ACM Trans. Graph..
[20] Alex Sherstinsky,et al. Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network , 2018, Physica D: Nonlinear Phenomena.
[21] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[22] J. Magnus. On Differentiating Eigenvalues and Eigenvectors , 1985, Econometric Theory.
[23] Yunchao Wei,et al. Deep Salient Object Detection With Dense Connections and Distraction Diagnosis , 2018, IEEE Transactions on Multimedia.
[24] Xiao-Tong Yuan,et al. Truncated power method for sparse eigenvalue problems , 2011, J. Mach. Learn. Res..
[25] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[26] Wojciech Matusik,et al. Articulated mesh animation from multi-view silhouettes , 2008, ACM Trans. Graph..
[27] Sebastian Thrun,et al. SCAPE: shape completion and animation of people , 2005, SIGGRAPH '05.
[28] Jae-Young Sim,et al. Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes , 2017, IEEE Transactions on Multimedia.
[29] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[30] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[31] Szymon Rusinkiewicz,et al. Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors , 2003, Symposium on Geometry Processing.
[32] H. Y. Martono,et al. SHREC’14 Track: Retrieval and Classification on Textured 3D Models , 2014 .
[33] Yaron Lipman,et al. Point registration via efficient convex relaxation , 2016, ACM Trans. Graph..
[34] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[35] Jonathan Masci,et al. Learning shape correspondence with anisotropic convolutional neural networks , 2016, NIPS.
[36] Daniel Cremers,et al. Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Leonidas J. Guibas,et al. SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Ralph R. Martin,et al. Mesh saliency via spectral processing , 2014, ACM Trans. Graph..
[39] Feiping Nie,et al. Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering , 2017, IEEE Transactions on Image Processing.
[40] Daniel Cremers,et al. Dense Non-rigid Shape Correspondence Using Random Forests , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Thomas A. Funkhouser,et al. Schelling points on 3D surface meshes , 2012, ACM Trans. Graph..
[42] Ligang Liu,et al. Mesh saliency via ranking unsalient patches in a descriptor space , 2015, Comput. Graph..
[43] A. Bronstein,et al. Learning Spectral Descriptors for Deformable Shape Correspondence , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Vladimir G. Kim,et al. Blended intrinsic maps , 2011, ACM Trans. Graph..
[45] Qi-Xing Huang,et al. Dense Human Body Correspondences Using Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Scott T. Rickard,et al. Comparing Measures of Sparsity , 2008, IEEE Transactions on Information Theory.
[47] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[48] A. Ben Hamza,et al. Geodesic matching of triangulated surfaces , 2006, IEEE Transactions on Image Processing.
[49] Andrea Giachetti,et al. Retrieval and classification methods for textured 3D models: a comparative study , 2015, The Visual Computer.
[50] Alexander M. Bronstein,et al. Deep Functional Maps: Structured Prediction for Dense Shape Correspondence , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[51] Ayellet Tal,et al. Surface Regions of Interest for Viewpoint Selection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Raif M. Rustamov,et al. Laplace-Beltrami eigenfunctions for deformation invariant shape representation , 2007 .
[53] Robert J. Plemmons,et al. Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.
[54] Martin Vetterli,et al. Euclidean Distance Matrices: Essential theory, algorithms, and applications , 2015, IEEE Signal Processing Magazine.
[55] Pierre Vandergheynst,et al. Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks , 2015, SGP '15.
[56] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[57] Karthik Ramani,et al. Deep Learning 3D Shape Surfaces Using Geometry Images , 2016, ECCV.
[58] David W. Jacobs,et al. Mesh saliency , 2005, ACM Trans. Graph..
[59] Jie Yang,et al. Saliency Detection by Fully Learning a Continuous Conditional Random Field , 2017, IEEE Transactions on Multimedia.