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SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
IEEE Transactions on Image Processing, 2018,Volume: 27,Issue: 6,Page: 3049-3063
Authors:  Han Z.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Bu S.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/11
Coupled Softmax  Deep Spatial  Directed Circular Graph  Spatially-enhanced 3d Features  
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine Journal article
IEEE Transactions on Image Processing, 2016,Volume: 25,Issue: 11,Page: 5331-5344
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Li X.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/14
3d Shapes  Circle Convolutional Restricted Boltzmann Machine  Deep Learning  Fourier Transform Modulus  Geometry Processing  Projection Distance Distribution