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]
[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]
[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]
[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]
[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]
[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]
[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}
}