CVPR 2022 Open Access Repository

Human-Centered Intelligent Services: Safe and Trustworthy

HMIway-Env: A Framework for Simulating Behaviors and Preferences To Support Human-AI Teaming in Driving: Deepak Gopinath,

Jonathan DeCastro,

Guy Rosman,

Emily Sumner,

Allison Morgan,

Shabnam Hakimi,

Simon Stent; [pdf]
[bibtex]
@InProceedings{Gopinath_2022_CVPR, author = {Gopinath, Deepak and DeCastro, Jonathan and Rosman, Guy and Sumner, Emily and Morgan, Allison and Hakimi, Shabnam and Stent, Simon}, title = {HMIway-Env: A Framework for Simulating Behaviors and Preferences To Support Human-AI Teaming in Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4342-4350} }
Improving Robustness to Texture Bias via Shape-Focused Augmentation: Sangjun Lee,

Inwoo Hwang,

Gi-Cheon Kang,

Byoung-Tak Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2022_CVPR, author = {Lee, Sangjun and Hwang, Inwoo and Kang, Gi-Cheon and Zhang, Byoung-Tak}, title = {Improving Robustness to Texture Bias via Shape-Focused Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4323-4331} }
Efficient Two-Stage Model Retraining for Machine Unlearning: Junyaup Kim,

Simon S. Woo; [pdf]
[bibtex]
@InProceedings{Kim_2022_CVPR, author = {Kim, Junyaup and Woo, Simon S.}, title = {Efficient Two-Stage Model Retraining for Machine Unlearning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4361-4369} }
Person Re-Identification Method Based on Color Attack and Joint Defence: Yunpeng Gong,

Liqing Huang,

Lifei Chen; [pdf]
[bibtex]
@InProceedings{Gong_2022_CVPR, author = {Gong, Yunpeng and Huang, Liqing and Chen, Lifei}, title = {Person Re-Identification Method Based on Color Attack and Joint Defence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4313-4322} }
PyTorch-OOD: A Library for Out-of-Distribution Detection Based on PyTorch: Konstantin Kirchheim,

Marco Filax,

Frank Ortmeier; [pdf]
[bibtex]
@InProceedings{Kirchheim_2022_CVPR, author = {Kirchheim, Konstantin and Filax, Marco and Ortmeier, Frank}, title = {PyTorch-OOD: A Library for Out-of-Distribution Detection Based on PyTorch}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4351-4360} }
Holistic Approach To Measure Sample-Level Adversarial Vulnerability and Its Utility in Building Trustworthy Systems: Gaurav Kumar Nayak,

Ruchit Rawal,

Rohit Lal,

Himanshu Patil,

Anirban Chakraborty; [pdf] [arXiv]
[bibtex]
@InProceedings{Nayak_2022_CVPR, author = {Nayak, Gaurav Kumar and Rawal, Ruchit and Lal, Rohit and Patil, Himanshu and Chakraborty, Anirban}, title = {Holistic Approach To Measure Sample-Level Adversarial Vulnerability and Its Utility in Building Trustworthy Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {4332-4341} }