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Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09764-y
Abstract: In order to enhance the discernment of features in view-based 3D shape recognition, we propose a joint convolutional neural network (CNN) learning model based on informative images. It learns deep features from intrinsic feature images…
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Keywords:
informative images;
shape;
based informative;
rigid shape ... See more keywords
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Published in 2020 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.119356
Abstract: Abstract Aggregate plays the role of skeleton filling in asphalt pavements. The shape of the aggregate affects the embedded structure between the aggregates, thus affecting the performance of asphalt concrete. In this study, extreme gradient…
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Keywords:
classification;
gradient boosting;
extreme gradient;
aggregate ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3061422
Abstract: The success of deep learning methods led to significant breakthroughs in 3-D point cloud processing tasks with applications in remote sensing. Existing methods utilize convolutions that have some limitations, as they assume a uniform input…
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Keywords:
point transformer;
shape classification;
model;
classification retrieval ... See more keywords
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Published in 2019 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2866793
Abstract: Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or average pooling lacks a view selection mechanism, limiting its application in,…
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Keywords:
veram view;
attention;
view;
shape classification ... See more keywords