Tensor Methods in Computer Vision
Exploration of Social and Web Image Search Results Using Tensor Decomposition-
[pdf]
[bibtex]@InProceedings{Yang_2017_CVPR_Workshops,
author = {Yang, Liuqing and Papalexakis, Evangelos E.},
title = {Exploration of Social and Web Image Search Results Using Tensor Decomposition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Graph-Regularized Generalized Low-Rank Models-
[pdf]
[bibtex]@InProceedings{Paradkar_2017_CVPR_Workshops,
author = {Paradkar, Mihir and Udell, Madeleine},
title = {Graph-Regularized Generalized Low-Rank Models},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Exploring the Granularity of Sparsity in Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Mao_2017_CVPR_Workshops,
author = {Mao, Huizi and Han, Song and Pool, Jeff and Li, Wenshuo and Liu, Xingyu and Wang, Yu and Dally, William J.},
title = {Exploring the Granularity of Sparsity in Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Human Action Recognition Using Tensor Dynamical System Modeling-
[pdf]
[bibtex]@InProceedings{Lee_2017_CVPR_Workshops,
author = {Lee, Chan-Su},
title = {Human Action Recognition Using Tensor Dynamical System Modeling},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
Tensor Contraction Layers for Parsimonious Deep Nets-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kossaifi_2017_CVPR_Workshops,
author = {Kossaifi, Jean and Khanna, Aran and Lipton, Zachary and Furlanello, Tommaso and Anandkumar, Anima},
title = {Tensor Contraction Layers for Parsimonious Deep Nets},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}