English | 繁體

Search in the results

UM

Browse/Search Results:  1-5 of 5 Help

Selected(0)Clear Items/Page:    Sort:
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation Journal article
Han, Z.Z., Lu, H.L., Liu, Z.B., Vong, C. M., Liu, Y.S., Zwicker, M., Han, J.W., Chen, C. L. P.. 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation[J]. IEEE Transactions on Image Processing (SCI-E), 2019, 3986-3999.
Authors:  Han, Z.Z.;  Lu, H.L.;  Liu, Z.B.;  Vong, C. M.;  Liu, Y.S.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
3D global feature learning  view aggregation  sequential views  hierarchical attention aggregation  CNN  
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention Journal article
Han, Z. Z., Shang, M. Y., Liu, Z. B., Vong, C. M., Liu, Y. S., Han, J. W., Chen, C. L. P.. SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention[J]. IEEE Transactions on Image Processing (SCI-E), 2019, 658-672.
Authors:  Han, Z. Z.;  Shang, M. Y.;  Liu, Z. B.;  Vong, C. M.;  Liu, Y. S.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
3D feature learning  Sequential views  Sequential labels  View aggregation  RNN  Attention  
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax Journal article
Han, Z. Z., Liu, Z. B., Vong, C. M., Liu, Y. S., Bu, S. H., Han, J. W., Chen, C. L. P.. Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax[J]. IEEE Transactions on Image Processing (SCI-E), 2018, 3049-3063.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Vong, C. M.;  Liu, Y. S.;  Bu, S. H.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
Deep spatial  spatially-enhanced 3D features  directed circular graph  coupled softmax  
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation Journal article
Han, Z.H., Liu, Z.B., Vong, C. M., Liu, Y.S., Bu, S.H., Han, J.W., Chen, C. L.. BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation[J]. IEEE Transactions on Image Processing (SCI-E), 2017, 3707-3720.
Authors:  Han, Z.H.;  Liu, Z.B.;  Vong, C. M.;  Liu, Y.S.;  Bu, S.H.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
Bag of spatial context correlations  Spatial context correlation  Spatial context  3D shape representations.  
Unsupervised 3D local Feature Learning by Circle Convolutional Restricted Boltzmann Machine Journal article
Han, Z., Liu, Z., Han, J., Vong, C. M., Bu, S., Li, X.. Unsupervised 3D local Feature Learning by Circle Convolutional Restricted Boltzmann Machine[J]. IEEE Transactions on Image Processing (SCI-E), 2016, 5331-5344.
Authors:  Han, Z.;  Liu, Z.;  Han, J.;  Vong, C. M.;  Bu, S.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
Three-dimensional displays  Shape  Machine learning  Convolution  Solid modeling  Feature extraction  Two dimensional displays