CVPR 2024 Open Access Repository

Safe Artificial Intelligence for All Domains (SAIAD)

Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations: Maximilian Dreyer,

Reduan Achtibat,

Wojciech Samek,

Sebastian Lapuschkin; [pdf] [supp]
[bibtex]
@InProceedings{Dreyer_2024_CVPR, author = {Dreyer, Maximilian and Achtibat, Reduan and Samek, Wojciech and Lapuschkin, Sebastian}, title = {Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3491-3501} }
Understanding ReLU Network Robustness Through Test Set Certification Performance: Nicola Franco,

Jeanette Miriam Lorenz,

Karsten Roscher,

Stephan Günnemann; [pdf] [supp]
[bibtex]
@InProceedings{Franco_2024_CVPR, author = {Franco, Nicola and Lorenz, Jeanette Miriam and Roscher, Karsten and G\"unnemann, Stephan}, title = {Understanding ReLU Network Robustness Through Test Set Certification Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3451-3460} }
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression: Dilyara Bareeva,

Maximilian Dreyer,

Frederik Pahde,

Wojciech Samek,

Sebastian Lapuschkin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bareeva_2024_CVPR, author = {Bareeva, Dilyara and Dreyer, Maximilian and Pahde, Frederik and Samek, Wojciech and Lapuschkin, Sebastian}, title = {Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3532-3541} }
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks: Ziliang Xiong,

Arvi Jonnarth,

Abdelrahman Eldesokey,

Joakim Johnander,

Bastian Wandt,

Per-Erik Forssén; [pdf] [supp]
[bibtex]
@InProceedings{Xiong_2024_CVPR, author = {Xiong, Ziliang and Jonnarth, Arvi and Eldesokey, Abdelrahman and Johnander, Joakim and Wandt, Bastian and Forss\'en, Per-Erik}, title = {Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3471-3480} }
AdvDenoise: Fast Generation Framework of Universal and Robust Adversarial Patches Using Denoise: Jing Li,

Zigan Wang,

Jinliang Li; [pdf]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Jing and Wang, Zigan and Li, Jinliang}, title = {AdvDenoise: Fast Generation Framework of Universal and Robust Adversarial Patches Using Denoise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3481-3490} }
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns: Hakan Yekta Yatbaz,

Mehrdad Dianati,

Konstantinos Koufos,

Roger Woodman; [pdf] [arXiv]
[bibtex]
@InProceedings{Yatbaz_2024_CVPR, author = {Yatbaz, Hakan Yekta and Dianati, Mehrdad and Koufos, Konstantinos and Woodman, Roger}, title = {Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3522-3531} }
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study: Pallavi Mitra,

Gesina Schwalbe,

Nadja Klein; [pdf] [arXiv]
[bibtex]
@InProceedings{Mitra_2024_CVPR, author = {Mitra, Pallavi and Schwalbe, Gesina and Klein, Nadja}, title = {Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3542-3552} }
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection: Syed Sha Qutub,

Michael Paulitsch,

Kay-Ulrich Scholl,

Neslihan Kose Cihangir,

Korbinian Hagn,

Fabian Oboril,

Gereon Hinz,

Alois Knoll; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qutub_2024_CVPR, author = {Qutub, Syed Sha and Paulitsch, Michael and Scholl, Kay-Ulrich and Cihangir, Neslihan Kose and Hagn, Korbinian and Oboril, Fabian and Hinz, Gereon and Knoll, Alois}, title = {Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3502-3511} }
A Comprehensive Analysis of Factors Impacting Membership Inference: Daniel Dealcala,

Gonzalo Mancera,

Aythami Morales,

Julian Fierrez,

Ruben Tolosana,

Javier Ortega-Garcia; [pdf]
[bibtex]
@InProceedings{Dealcala_2024_CVPR, author = {Dealcala, Daniel and Mancera, Gonzalo and Morales, Aythami and Fierrez, Julian and Tolosana, Ruben and Ortega-Garcia, Javier}, title = {A Comprehensive Analysis of Factors Impacting Membership Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3585-3593} }
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models: Marion Neumeier,

Sebastian Dorn,

Michael Botsch,

Wolfgang Utschick; [pdf] [arXiv]
[bibtex]
@InProceedings{Neumeier_2024_CVPR, author = {Neumeier, Marion and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3461-3470} }
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty: Luca Mossina,

Joseba Dalmau,

Léo Andéol; [pdf]
[bibtex]
@InProceedings{Mossina_2024_CVPR, author = {Mossina, Luca and Dalmau, Joseba and And\'eol, L\'eo}, title = {Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3574-3584} }
The Penalized Inverse Probability Measure for Conformal Classification: Paul Melki,

Lionel Bombrun,

Boubacar Diallo,

Jérôme Dias,

Jean-Pierre Da Costa; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Melki_2024_CVPR, author = {Melki, Paul and Bombrun, Lionel and Diallo, Boubacar and Dias, J\'er\^ome and Da Costa, Jean-Pierre}, title = {The Penalized Inverse Probability Measure for Conformal Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3512-3521} }
Towards Engineered Safe AI with Modular Concept Models: Lena Heidemann,

Iwo Kurzidem,

Maureen Monnet,

Karsten Roscher,

Stephan Günnemann; [pdf]
[bibtex]
@InProceedings{Heidemann_2024_CVPR, author = {Heidemann, Lena and Kurzidem, Iwo and Monnet, Maureen and Roscher, Karsten and G\"unnemann, Stephan}, title = {Towards Engineered Safe AI with Modular Concept Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3564-3573} }
Look Listen and Attack: Backdoor Attacks Against Video Action Recognition: Hasan Abed Al Kader Hammoud,

Shuming Liu,

Mohammed Alkhrashi,

Fahad Albalawi,

Bernard Ghanem; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Al_Kader_Hammoud_2024_CVPR, author = {Al Kader Hammoud, Hasan Abed and Liu, Shuming and Alkhrashi, Mohammed and Albalawi, Fahad and Ghanem, Bernard}, title = {Look Listen and Attack: Backdoor Attacks Against Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3439-3450} }
Towards Weakly-Supervised Domain Adaptation for Lane Detection: Jingxing Zhou,

Chongzhe Zhang,

Jürgen Beyerer; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2024_CVPR, author = {Zhou, Jingxing and Zhang, Chongzhe and Beyerer, J\"urgen}, title = {Towards Weakly-Supervised Domain Adaptation for Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3553-3563} }
Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios: Sujan Sai Gannamaneni,

Frederic Klein,

Michael Mock,

Maram Akila; [pdf] [supp]
[bibtex]
@InProceedings{Gannamaneni_2024_CVPR, author = {Gannamaneni, Sujan Sai and Klein, Frederic and Mock, Michael and Akila, Maram}, title = {Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {3594-3604} }