Responsible Computer Vision


MTUNet: Few-Shot Image Classification With Visual Explanations
Bowen Wang,
Liangzhi Li,
Manisha Verma,
Yuta Nakashima,
Ryo Kawasaki,
Hajime Nagahara
[pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Bowen and Li, Liangzhi and Verma, Manisha and Nakashima, Yuta and Kawasaki, Ryo and Nagahara, Hajime}, title = {MTUNet: Few-Shot Image Classification With Visual Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2294-2298} }

Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies
Ezgi Korkmaz
[pdf]
[bibtex]
@InProceedings{Korkmaz_2021_CVPR, author = {Korkmaz, Ezgi}, title = {Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2323-2327} }

Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation
Attila Szabo,
Hadi Jamali-Rad,
Siva-Datta Mannava
[pdf] [supp]
[bibtex]
@InProceedings{Szabo_2021_CVPR, author = {Szabo, Attila and Jamali-Rad, Hadi and Mannava, Siva-Datta}, title = {Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2305-2310} }

Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Samuele Poppi,
Marcella Cornia,
Lorenzo Baraldi,
Rita Cucchiara
[pdf] [arXiv]
[bibtex]
@InProceedings{Poppi_2021_CVPR, author = {Poppi, Samuele and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita}, title = {Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2299-2304} }

Casual Conversations: A Dataset for Measuring Fairness in AI
Caner Hazirbas,
Joanna Bitton,
Brian Dolhansky,
Jacqueline Pan,
Albert Gordo,
Cristian Canton Ferrer
[pdf]
[bibtex]
@InProceedings{Hazirbas_2021_CVPR, author = {Hazirbas, Caner and Bitton, Joanna and Dolhansky, Brian and Pan, Jacqueline and Gordo, Albert and Ferrer, Cristian Canton}, title = {Casual Conversations: A Dataset for Measuring Fairness in AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2289-2293} }

Are All Users Treated Fairly in Federated Learning Systems?
Umberto Michieli,
Mete Ozay
[pdf]
[bibtex]
@InProceedings{Michieli_2021_CVPR, author = {Michieli, Umberto and Ozay, Mete}, title = {Are All Users Treated Fairly in Federated Learning Systems?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2318-2322} }

Reconsidering CO2 Emissions From Computer Vision
Andre Fu,
Mahdi S. Hosseini,
Konstantinos N. Plataniotis
[pdf] [arXiv]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Andre and Hosseini, Mahdi S. and Plataniotis, Konstantinos N.}, title = {Reconsidering CO2 Emissions From Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2311-2317} }