Robust Subspace Learning and Applications in Computer Vision
Learning Disentangled Representations via Independent Subspaces-
[pdf]
[bibtex]@InProceedings{Awiszus_2019_ICCV_Workshops,
author = {Awiszus, Maren and Ackermann, Hanno and Rosenhahn, Bodo},
title = {Learning Disentangled Representations via Independent Subspaces},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis-
[pdf]
[bibtex]@InProceedings{Brandt_2019_ICCV_Workshops,
author = {Sebastian Brandt, Sami and Ackermann, Hanno and Grasshof, Stella},
title = {Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Robust Discrimination and Generation of Faces using Compact, Disentangled Embeddings-
[pdf]
[bibtex]@InProceedings{Browatzki_2019_ICCV_Workshops,
author = {Browatzki, Bjoern and Wallraven, Christian},
title = {Robust Discrimination and Generation of Faces using Compact, Disentangled Embeddings},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image-
[pdf]
[bibtex]@InProceedings{He_2019_ICCV_Workshops,
author = {He, Lei and Yang, Hongwei and Zhao, Lina},
title = {Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps-
[pdf]
[bibtex]@InProceedings{Kim_2019_ICCV_Workshops,
author = {Kim, Taehyeon and Lee, Jieun and Choe, Yoonsik},
title = {Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Low-Rank Tensor Tracking-
[pdf]
[bibtex]@InProceedings{javed_2019_ICCV_Workshops,
author = {javed, Sajid and Dias, Jorge and Werghi, Naoufel},
title = {Low-Rank Tensor Tracking},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Structuring Autoencoders-
[pdf]
[bibtex]@InProceedings{Rudolph_2019_ICCV_Workshops,
author = {Rudolph, Marco and Wandt, Bastian and Rosenhahn, Bodo},
title = {Structuring Autoencoders},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering-
[pdf]
[bibtex]@InProceedings{Tang_2019_ICCV_Workshops,
author = {Tang, Kewei and Xu, Kaiqiang and Su, Zhixun and Jiang, Wei and Luo, Xiaonan and Sun, Xiyan},
title = {Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Deep Closed-Form Subspace Clustering-
[pdf]
[bibtex]@InProceedings{Seo_2019_ICCV_Workshops,
author = {Seo, Junghoon and Koo, Jamyoung and Jeon, Taegyun},
title = {Deep Closed-Form Subspace Clustering},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation-
[pdf]
[bibtex]@InProceedings{Gilman_2019_ICCV_Workshops,
author = {Gilman, Kyle and Balzano, Laura},
title = {Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Topological Labelling of Scene using Background/Foreground Separation and Epipolar Geometry-
[pdf]
[bibtex]@InProceedings{Hiraoka_2019_ICCV_Workshops,
author = {Hiraoka, Hiroki and Imiya, Atsushi},
title = {Topological Labelling of Scene using Background/Foreground Separation and Epipolar Geometry},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Complete Moving Object Detection in the Context of Robust Subspace Learning-
[pdf]
[bibtex]@InProceedings{Sultana_2019_ICCV_Workshops,
author = {Sultana, Maryam and Mahmood, Arif and Bouwmans, Thierry and Ki Jung, Soon},
title = {Complete Moving Object Detection in the Context of Robust Subspace Learning},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Classifying and Comparing Approaches to Subspace Clustering with Missing Data-
[pdf]
[bibtex]@InProceedings{Lane_2019_ICCV_Workshops,
author = {Lane, Connor and Boger, Ron and You, Chong and Tsakiris, Manolis and Haeffele, Benjamin and Vidal, Rene},
title = {Classifying and Comparing Approaches to Subspace Clustering with Missing Data},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Adaptive Online k-Subspaces with Cooperative Re-Initialization-
[pdf]
[bibtex]@InProceedings{Lane_2019_ICCV_Workshops,
author = {Lane, Connor and Haeffele, Benjamin and Vidal, Rene},
title = {Adaptive Online k-Subspaces with Cooperative Re-Initialization},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}