CVPR 2021 Open Access Repository

Safe Artificial Intelligence for Automated Driving

Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles: Vasu Singh,

Siva Kumar Sastry Hari,

Timothy Tsai,

Mandar Pitale; [pdf]
[bibtex]
@InProceedings{Singh_2021_CVPR, author = {Singh, Vasu and Hari, Siva Kumar Sastry and Tsai, Timothy and Pitale, Mandar}, title = {Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {122-128} }
Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection: Patrick Feifel,

Frank Bonarens,

Frank Koster; [pdf]
[bibtex]
@InProceedings{Feifel_2021_CVPR, author = {Feifel, Patrick and Bonarens, Frank and Koster, Frank}, title = {Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {29-37} }
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders: Felix Moller,

Diego Botache,

Denis Huseljic,

Florian Heidecker,

Maarten Bieshaar,

Bernhard Sick; [pdf] [arXiv]
[bibtex]
@InProceedings{Moller_2021_CVPR, author = {Moller, Felix and Botache, Diego and Huseljic, Denis and Heidecker, Florian and Bieshaar, Maarten and Sick, Bernhard}, title = {Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {46-55} }
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks: Serin Varghese,

Sharat Gujamagadi,

Marvin Klingner,

Nikhil Kapoor,

Andreas Bar,

Jan David Schneider,

Kira Maag,

Peter Schlicht,

Fabian Huger,

Tim Fingscheidt; [pdf]
[bibtex]
@InProceedings{Varghese_2021_CVPR, author = {Varghese, Serin and Gujamagadi, Sharat and Klingner, Marvin and Kapoor, Nikhil and Bar, Andreas and Schneider, Jan David and Maag, Kira and Schlicht, Peter and Huger, Fabian and Fingscheidt, Tim}, title = {An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {12-20} }
Improving Online Performance Prediction for Semantic Segmentation: Marvin Klingner,

Andreas Bar,

Marcel Mross,

Tim Fingscheidt; [pdf] [arXiv]
[bibtex]
@InProceedings{Klingner_2021_CVPR, author = {Klingner, Marvin and Bar, Andreas and Mross, Marcel and Fingscheidt, Tim}, title = {Improving Online Performance Prediction for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1-11} }
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation: Linara Adilova,

Elena Schulz,

Maram Akila,

Sebastian Houben,

Jan David Schneider,

Fabian Huger,

Tim Wirtz; [pdf] [supp]
[bibtex]
@InProceedings{Adilova_2021_CVPR, author = {Adilova, Linara and Schulz, Elena and Akila, Maram and Houben, Sebastian and Schneider, Jan David and Huger, Fabian and Wirtz, Tim}, title = {Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {85-92} }
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing: Sravanti Addepalli,

Samyak Jain,

Gaurang Sriramanan,

R. Venkatesh Babu; [pdf] [supp]
[bibtex]
@InProceedings{Addepalli_2021_CVPR, author = {Addepalli, Sravanti and Jain, Samyak and Sriramanan, Gaurang and Babu, R. Venkatesh}, title = {Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {93-102} }
Detecting Anomalies in Semantic Segmentation With Prototypes: Dario Fontanel,

Fabio Cermelli,

Massimiliano Mancini,

Barbara Caputo; [pdf] [arXiv]
[bibtex]
@InProceedings{Fontanel_2021_CVPR, author = {Fontanel, Dario and Cermelli, Fabio and Mancini, Massimiliano and Caputo, Barbara}, title = {Detecting Anomalies in Semantic Segmentation With Prototypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {113-121} }
Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey: Martin Rabe,

Stefan Milz,

Patrick Mader; [pdf]
[bibtex]
@InProceedings{Rabe_2021_CVPR, author = {Rabe, Martin and Milz, Stefan and Mader, Patrick}, title = {Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {129-141} }
Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation: Anselm Haselhoff,

Jan Kronenberger,

Fabian Kuppers,

Jonas Schneider; [pdf]
[bibtex]
@InProceedings{Haselhoff_2021_CVPR, author = {Haselhoff, Anselm and Kronenberger, Jan and Kuppers, Fabian and Schneider, Jonas}, title = {Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {21-28} }
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities: Julia Rosenzweig,

Joachim Sicking,

Sebastian Houben,

Michael Mock,

Maram Akila; [pdf] [arXiv]
[bibtex]
@InProceedings{Rosenzweig_2021_CVPR, author = {Rosenzweig, Julia and Sicking, Joachim and Houben, Sebastian and Mock, Michael and Akila, Maram}, title = {Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {56-65} }
SafeSO: Interpretable and Explainable Deep Learning Approach for Seat Occupancy Classification in Vehicle Interior: Joanna Jaworek-Korjakowska,

Aleksander Kostuch,

Pawel Skruch; [pdf]
[bibtex]
@InProceedings{Jaworek-Korjakowska_2021_CVPR, author = {Jaworek-Korjakowska, Joanna and Kostuch, Aleksander and Skruch, Pawel}, title = {SafeSO: Interpretable and Explainable Deep Learning Approach for Seat Occupancy Classification in Vehicle Interior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {103-112} }
From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains: Maria Lyssenko,

Christoph Gladisch,

Christian Heinzemann,

Matthias Woehrle,

Rudolph Triebel; [pdf]
[bibtex]
@InProceedings{Lyssenko_2021_CVPR, author = {Lyssenko, Maria and Gladisch, Christoph and Heinzemann, Christian and Woehrle, Matthias and Triebel, Rudolph}, title = {From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {38-45} }
Adversarial Robust Model Compression Using In-Train Pruning: Manoj-Rohit Vemparala,

Nael Fasfous,

Alexander Frickenstein,

Sreetama Sarkar,

Qi Zhao,

Sabine Kuhn,

Lukas Frickenstein,

Anmol Singh,

Christian Unger,

Naveen-Shankar Nagaraja,

Christian Wressnegger,

Walter Stechele; [pdf] [supp]
[bibtex]
@InProceedings{Vemparala_2021_CVPR, author = {Vemparala, Manoj-Rohit and Fasfous, Nael and Frickenstein, Alexander and Sarkar, Sreetama and Zhao, Qi and Kuhn, Sabine and Frickenstein, Lukas and Singh, Anmol and Unger, Christian and Nagaraja, Naveen-Shankar and Wressnegger, Christian and Stechele, Walter}, title = {Adversarial Robust Model Compression Using In-Train Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {66-75} }
Sparse Activation Maps for Interpreting 3D Object Detection: Qiuxiao Chen,

Pengfei Li,

Meng Xu,

Xiaojun Qi; [pdf]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Qiuxiao and Li, Pengfei and Xu, Meng and Qi, Xiaojun}, title = {Sparse Activation Maps for Interpreting 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {76-84} }