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Semi-fragile Reversible Watermarking for 3D Models Using Spherical Crown Volume Division Journal article
Peng,Fei, Liao,Tongxin, Long,Min, Li,Jin, Zhang,Wensheng, Zhou,Yicong. Semi-fragile Reversible Watermarking for 3D Models Using Spherical Crown Volume Division[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(11), 6531 - 6543.
Authors:  Peng,Fei;  Liao,Tongxin;  Long,Min;  Li,Jin;  Zhang,Wensheng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:8.3/7.1 | Submit date：2023/08/03
3d Mesh Models  Authentication  Distortion  Integrity Authentication  Location Awareness  Semi-fragile Reversible Watermarking  Signal Processing Algorithms  Solid Modeling  Spherical Crown Volume Division  Three-dimensional Displays  Watermarking  
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3D Meshes Journal article
Han, Z., Liu, Z., Han, J., Vong, C. M., Bu, S., Chen, C. L.. Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3D Meshes[J]. IEEE Transactions on Neural Networks and Learning Systems (SCI-E), 2017, 2268-2281.
Authors:  Han, Z.;  Liu, Z.;  Han, J.;  Vong, C. M.;  Bu, S.; et al.
Favorite |   IF:10.2/10.4 | Submit date：2022/08/09
3D mesh  Laplace-Beltrami operator  Mesh Convolutional Restricted Boltzman Machines  Mesh Convolutional Deep Belief Networks  
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3-D Meshes Journal article
Han Z., Liu Z., Han J., Vong C.-M., Bu S., Chen C.L.P.. Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features with Structure Preservation on 3-D Meshes[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(10), 2268-2281.
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.; et al.
Favorite | TC[WOS]:44 TC[Scopus]:45 | Submit date：2019/02/11
3-d Mesh  Laplace-beltrami Operator  Mesh Convolutional Deep Belief Networks (Mcdbns)  Mesh Convolutional Restricted Boltzmann Machines (Mcrbms)  
Embedding a family of disjoint 3D meshes into a crossed cube Journal article
Dong Q., Yang X., Zhao J., Tang Y.Y.. Embedding a family of disjoint 3D meshes into a crossed cube[J]. INFORMATION SCIENCES, 2008, 178(11), 2396-2405.
Authors:  Dong Q.;  Yang X.;  Zhao J.;  Tang Y.Y.
Favorite | TC[WOS]:24 TC[Scopus]:32  IF:0/0 | Submit date：2019/02/11
3d Mesh  Crossed Cube  Dilation  Expansion  Graph Embedding  Interconnection Network