ICCV 2021 Open Access Repository

Human-Centric Trustworthy Computer Vision: From Research to Applications

Attention Aware Debiasing for Unbiased Model Prediction: Puspita Majumdar,

Richa Singh,

Mayank Vatsa; [pdf]
[bibtex]
@InProceedings{Majumdar_2021_ICCV, author = {Majumdar, Puspita and Singh, Richa and Vatsa, Mayank}, title = {Attention Aware Debiasing for Unbiased Model Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4133-4141} }
End-to-End Model-Based Gait Recognition Using Synchronized Multi-View Pose Constraint: Xiang Li,

Yasushi Makihara,

Chi Xu,

Yasushi Yagi; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_ICCV, author = {Li, Xiang and Makihara, Yasushi and Xu, Chi and Yagi, Yasushi}, title = {End-to-End Model-Based Gait Recognition Using Synchronized Multi-View Pose Constraint}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4106-4115} }
SVEA: A Small-Scale Benchmark for Validating the Usability of Post-Hoc Explainable AI Solutions in Image and Signal Recognition: Sam Sattarzadeh,

Mahesh Sudhakar,

Konstantinos N. Plataniotis; [pdf] [supp]
[bibtex]
@InProceedings{Sattarzadeh_2021_ICCV, author = {Sattarzadeh, Sam and Sudhakar, Mahesh and Plataniotis, Konstantinos N.}, title = {SVEA: A Small-Scale Benchmark for Validating the Usability of Post-Hoc Explainable AI Solutions in Image and Signal Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4158-4167} }
Student-Teacher Oneness: A Storage-Efficient Approach That Improves Facial Expression Recognition: Zhenzhu Zheng,

Christopher Rasmussen,

Xi Peng; [pdf]
[bibtex]
@InProceedings{Zheng_2021_ICCV, author = {Zheng, Zhenzhu and Rasmussen, Christopher and Peng, Xi}, title = {Student-Teacher Oneness: A Storage-Efficient Approach That Improves Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4077-4086} }
Formula-Driven Supervised Learning With Recursive Tiling Patterns: Hirokatsu Kataoka,

Asato Matsumoto,

Ryosuke Yamada,

Yutaka Satoh,

Eisuke Yamagata,

Nakamasa Inoue; [pdf]
[bibtex]
@InProceedings{Kataoka_2021_ICCV, author = {Kataoka, Hirokatsu and Matsumoto, Asato and Yamada, Ryosuke and Satoh, Yutaka and Yamagata, Eisuke and Inoue, Nakamasa}, title = {Formula-Driven Supervised Learning With Recursive Tiling Patterns}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4098-4105} }
Multi-Perspective Features Learning for Face Anti-Spoofing: Zhuming Wang,

Yaowen Xu,

Lifang Wu,

Hu Han,

Yukun Ma,

Guozhang Ma; [pdf]
[bibtex]
@InProceedings{Wang_2021_ICCV, author = {Wang, Zhuming and Xu, Yaowen and Wu, Lifang and Han, Hu and Ma, Yukun and Ma, Guozhang}, title = {Multi-Perspective Features Learning for Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4116-4122} }
Transformer Meets Part Model: Adaptive Part Division for Person Re-Identification: Shenqi Lai,

Zhenhua Chai,

Xiaolin Wei; [pdf]
[bibtex]
@InProceedings{Lai_2021_ICCV, author = {Lai, Shenqi and Chai, Zhenhua and Wei, Xiaolin}, title = {Transformer Meets Part Model: Adaptive Part Division for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4150-4157} }
Sparse Feature Representation Learning for Deep Face Gender Transfer: Xudong Liu,

Ruizhe Wang,

Hao Peng,

Minglei Yin,

Chih-Fan Chen,

Xin Li; [pdf]
[bibtex]
@InProceedings{Liu_2021_ICCV, author = {Liu, Xudong and Wang, Ruizhe and Peng, Hao and Yin, Minglei and Chen, Chih-Fan and Li, Xin}, title = {Sparse Feature Representation Learning for Deep Face Gender Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4087-4097} }
FedAffect: Few-Shot Federated Learning for Facial Expression Recognition: Debaditya Shome,

Tejaswini Kar; [pdf]
[bibtex]
@InProceedings{Shome_2021_ICCV, author = {Shome, Debaditya and Kar, Tejaswini}, title = {FedAffect: Few-Shot Federated Learning for Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4168-4175} }
Rethinking Common Assumptions To Mitigate Racial Bias in Face Recognition Datasets: Matthew Gwilliam,

Srinidhi Hegde,

Lade Tinubu,

Alex Hanson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gwilliam_2021_ICCV, author = {Gwilliam, Matthew and Hegde, Srinidhi and Tinubu, Lade and Hanson, Alex}, title = {Rethinking Common Assumptions To Mitigate Racial Bias in Face Recognition Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4123-4132} }
On the Importance of Encrypting Deep Features: Xingyang Ni,

Heikki Huttunen,

Esa Rahtu; [pdf] [arXiv]
[bibtex]
@InProceedings{Ni_2021_ICCV, author = {Ni, Xingyang and Huttunen, Heikki and Rahtu, Esa}, title = {On the Importance of Encrypting Deep Features}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4142-4149} }