Robust Subspace Learning and Applications in Computer Vision


Relaxations for Non-Separable Cardinality/Rank Penalties
Carl Olsson,
Daniele Gerosa,
Marcus Carlsson
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Olsson_2021_ICCV, author = {Olsson, Carl and Gerosa, Daniele and Carlsson, Marcus}, title = {Relaxations for Non-Separable Cardinality/Rank Penalties}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {162-171} }

TransBlast: Self-Supervised Learning Using Augmented Subspace With Transformer for Background/Foreground Separation
Islam Osman,
Mohamed Abdelpakey,
Mohamed S. Shehata
[pdf]
[bibtex]
@InProceedings{Osman_2021_ICCV, author = {Osman, Islam and Abdelpakey, Mohamed and Shehata, Mohamed S.}, title = {TransBlast: Self-Supervised Learning Using Augmented Subspace With Transformer for Background/Foreground Separation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {215-224} }

Graph CNN for Moving Object Detection in Complex Environments From Unseen Videos
Jhony H. Giraldo,
Sajid Javed,
Naoufel Werghi,
Thierry Bouwmans
[pdf]
[bibtex]
@InProceedings{Giraldo_2021_ICCV, author = {Giraldo, Jhony H. and Javed, Sajid and Werghi, Naoufel and Bouwmans, Thierry}, title = {Graph CNN for Moving Object Detection in Complex Environments From Unseen Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {225-233} }

Background/Foreground Separation: Guided Attention Based Adversarial Modeling (GAAM) Versus Robust Subspace Learning Methods
Maryam Sultana,
Arif Mahmood,
Thierry Bouwmans,
Muhammad Haris Khan,
Soon Ki Jung
[pdf]
[bibtex]
@InProceedings{Sultana_2021_ICCV, author = {Sultana, Maryam and Mahmood, Arif and Bouwmans, Thierry and Khan, Muhammad Haris and Jung, Soon Ki}, title = {Background/Foreground Separation: Guided Attention Based Adversarial Modeling (GAAM) Versus Robust Subspace Learning Methods}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {181-188} }

Double-Weighted Low-Rank Matrix Recovery Based on Rank Estimation
Zhengqin Xu,
Huasong Xing,
Shun Fang,
Shiqian Wu,
Shoulie Xie
[pdf] [supp]
[bibtex]
@InProceedings{Xu_2021_ICCV, author = {Xu, Zhengqin and Xing, Huasong and Fang, Shun and Wu, Shiqian and Xie, Shoulie}, title = {Double-Weighted Low-Rank Matrix Recovery Based on Rank Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {172-180} }

Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
HanQin Cai,
Zehan Chao,
Longxiu Huang,
Deanna Needell
[pdf] [arXiv]
[bibtex]
@InProceedings{Cai_2021_ICCV, author = {Cai, HanQin and Chao, Zehan and Huang, Longxiu and Needell, Deanna}, title = {Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {189-197} }

Convolutional Auto-Encoder With Tensor-Train Factorization
Manish Sharma,
Panos P. Markopoulos,
Eli Saber,
M. Salman Asif,
Ashley Prater-Bennette
[pdf]
[bibtex]
@InProceedings{Sharma_2021_ICCV, author = {Sharma, Manish and Markopoulos, Panos P. and Saber, Eli and Asif, M. Salman and Prater-Bennette, Ashley}, title = {Convolutional Auto-Encoder With Tensor-Train Factorization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {198-206} }

Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid,
Muhammad Zaigham Zaheer,
Seung-Ik Lee
[pdf]
[bibtex]
@InProceedings{Astrid_2021_ICCV, author = {Astrid, Marcella and Zaheer, Muhammad Zaigham and Lee, Seung-Ik}, title = {Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {207-214} }