Fair, Data-Efficient and Trusted Computer Vision

Face Recognition: Too Bias, or Not Too Bias?

Joseph P. Robinson,

Gennady Livitz,

Yann Henon,

Can Qin,

Yun Fu,

Samson Timoner

[pdf]

[bibtex]

@InProceedings{Robinson_2020_CVPR_Workshops,
author = {Robinson, Joseph P. and Livitz, Gennady and Henon, Yann and Qin, Can and Fu, Yun and Timoner, Samson},
title = {Face Recognition: Too Bias, or Not Too Bias?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

SAM: The Sensitivity of Attribution Methods to Hyperparameters

Naman Bansal,

Chirag Agarwal,

Anh Nguyen

[pdf] [supp]

[bibtex]

@InProceedings{Bansal_2020_CVPR_Workshops,
author = {Bansal, Naman and Agarwal, Chirag and Nguyen, Anh},
title = {SAM: The Sensitivity of Attribution Methods to Hyperparameters},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off

Yukun Ding,

Jinglan Liu,

Jinjun Xiong,

Yiyu Shi

[pdf] [supp] [video]

[bibtex]

@InProceedings{Ding_2020_CVPR_Workshops,
author = {Ding, Yukun and Liu, Jinglan and Xiong, Jinjun and Shi, Yiyu},
title = {Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

An Analytical Framework for Trusted Machine Learning and Computer Vision Running With Blockchain

Tao Wang,

Maggie Du,

Xinmin Wu,

Taiping He

[pdf] [video]

[bibtex]

@InProceedings{Wang_2020_CVPR_Workshops,
author = {Wang, Tao and Du, Maggie and Wu, Xinmin and He, Taiping},
title = {An Analytical Framework for Trusted Machine Learning and Computer Vision Running With Blockchain},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt

Jialing Lyu,

Weichao Qiu,

Alan Yuille

[pdf] [video]

[bibtex]

@InProceedings{Lyu_2020_CVPR_Workshops,
author = {Lyu, Jialing and Qiu, Weichao and Yuille, Alan},
title = {Identity Preserve Transform: Understand What Activity Classification Models Have Learnt},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Interpreting Interpretations: Organizing Attribution Methods by Criteria

Zifan Wang,

Piotr Mardziel,

Anupam Datta,

Matt Fredrikson

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2020_CVPR_Workshops,
author = {Wang, Zifan and Mardziel, Piotr and Datta, Anupam and Fredrikson, Matt},
title = {Interpreting Interpretations: Organizing Attribution Methods by Criteria},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Explaining Failure: Investigation of Surprise and Expectation in CNNs

Thomas Hartley,

Kirill Sidorov,

Christopher Willis,

David Marshall

[pdf]

[bibtex]

@InProceedings{Hartley_2020_CVPR_Workshops,
author = {Hartley, Thomas and Sidorov, Kirill and Willis, Christopher and Marshall, David},
title = {Explaining Failure: Investigation of Surprise and Expectation in CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Enhancing Facial Data Diversity With Style-Based Face Aging

Markos Georgopoulos,

James Oldfield,

Mihalis A. Nicolaou,

Yannis Panagakis,

Maja Pantic

[pdf] [supp]

[bibtex]

@InProceedings{Georgopoulos_2020_CVPR_Workshops,
author = {Georgopoulos, Markos and Oldfield, James and Nicolaou, Mihalis A. and Panagakis, Yannis and Pantic, Maja},
title = {Enhancing Facial Data Diversity With Style-Based Face Aging},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Imparting Fairness to Pre-Trained Biased Representations

Bashir Sadeghi,

Vishnu Naresh Boddeti

[pdf]

[bibtex]

@InProceedings{Sadeghi_2020_CVPR_Workshops,
author = {Sadeghi, Bashir and Naresh Boddeti, Vishnu},
title = {Imparting Fairness to Pre-Trained Biased Representations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Exploring Racial Bias Within Face Recognition via Per-Subject Adversarially-Enabled Data Augmentation

Seyma Yucer,

Samet Akcay,

Noura Al-Moubayed,

Toby P. Breckon

[pdf] [video]

[bibtex]

@InProceedings{Yucer_2020_CVPR_Workshops,
author = {Yucer, Seyma and Akcay, Samet and Al-Moubayed, Noura and Breckon, Toby P.},
title = {Exploring Racial Bias Within Face Recognition via Per-Subject Adversarially-Enabled Data Augmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Minimizing Supervision in Multi-Label Categorization

Rajat,

Munender Varshney,

Pravendra Singh,

Vinay P. Namboodiri

[pdf]

[bibtex]

@InProceedings{Rajat_2020_CVPR_Workshops,
author = { and Varshney, Munender and Singh, Pravendra and Namboodiri, Vinay P.},
title = {Minimizing Supervision in Multi-Label Categorization},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

DNDNet: Reconfiguring CNN for Adversarial Robustness

Akhil Goel,

Akshay Agarwal,

Mayank Vatsa,

Richa Singh,

Nalini K. Ratha

[pdf]

[bibtex]

@InProceedings{Goel_2020_CVPR_Workshops,
author = {Goel, Akhil and Agarwal, Akshay and Vatsa, Mayank and Singh, Richa and Ratha, Nalini K.},
title = {DNDNet: Reconfiguring CNN for Adversarial Robustness},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Haofan Wang,

Zifan Wang,

Mengnan Du,

Fan Yang,

Zijian Zhang,

Sirui Ding,

Piotr Mardziel,

Xia Hu

[pdf] [supp] [video]

[bibtex]

@InProceedings{Wang_2020_CVPR_Workshops,
author = {Wang, Haofan and Wang, Zifan and Du, Mengnan and Yang, Fan and Zhang, Zijian and Ding, Sirui and Mardziel, Piotr and Hu, Xia},
title = {Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

On Privacy Preserving Anonymization of Finger-Selfies

Aakarsh Malhotra,

Saheb Chhabra,

Mayank Vatsa,

Richa Singh

[pdf]

[bibtex]

@InProceedings{Malhotra_2020_CVPR_Workshops,
author = {Malhotra, Aakarsh and Chhabra, Saheb and Vatsa, Mayank and Singh, Richa},
title = {On Privacy Preserving Anonymization of Finger-Selfies},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

Alejandro Pena,

Ignacio Serna,

Aythami Morales,

Julian Fierrez

[pdf]

[bibtex]

@InProceedings{Pena_2020_CVPR_Workshops,
author = {Pena, Alejandro and Serna, Ignacio and Morales, Aythami and Fierrez, Julian},
title = {Bias in Multimodal AI: Testbed for Fair Automatic Recruitment},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Plug-and-Pipeline: Efficient Regularization for Single-Step Adversarial Training

Vivek B.S.,

Ambareesh Revanur,

Naveen Venkat,

R. Venkatesh Babu

[pdf] [video]

[bibtex]

@InProceedings{B.S._2020_CVPR_Workshops,
author = {B.S., Vivek and Revanur, Ambareesh and Venkat, Naveen and Venkatesh Babu, R.},
title = {Plug-and-Pipeline: Efficient Regularization for Single-Step Adversarial Training},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Attribute Aware Filter-Drop for Bias Invariant Classification

Shruti Nagpal,

Maneet Singh,

Richa Singh,

Mayank Vatsa

[pdf]

[bibtex]

@InProceedings{Nagpal_2020_CVPR_Workshops,
author = {Nagpal, Shruti and Singh, Maneet and Singh, Richa and Vatsa, Mayank},
title = {Attribute Aware Filter-Drop for Bias Invariant Classification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Privacy Enhanced Decision Tree Inference

Kanthi Sarpatwar,

Nalini K. Ratha,

Karthik Nandakumar,

Karthikeyan Shanmugam,

James T. Rayfield,

Sharath Pankanti,

Roman Vaculin

[pdf]

[bibtex]

@InProceedings{Sarpatwar_2020_CVPR_Workshops,
author = {Sarpatwar, Kanthi and Ratha, Nalini K. and Nandakumar, Karthik and Shanmugam, Karthikeyan and Rayfield, James T. and Pankanti, Sharath and Vaculin, Roman},
title = {Privacy Enhanced Decision Tree Inference},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}