Safe Artificial Intelligence for All Domains
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2026_CVPR, author = {Pang, Lu and Sun, Tao and Lyu, Weimin and Ling, Haibin and Chen, Chao}, title = {Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4261-4271} }
RetroMotion: Retrocausal Motion Forecasting Models are Instructable-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wagner_2026_CVPR, author = {Wagner, Royden and Tas, Omer Sahin and Hauser, Felix and Steiner, Marlon and Strutz, Dominik and Vivekanandan, Abhishek and Villa, Jaime and Shen, Yinzhe and Fernandez, Carlos and Stiller, Christoph}, title = {RetroMotion: Retrocausal Motion Forecasting Models are Instructable}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4302-4311} }
Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?-
[pdf]
[bibtex]@InProceedings{Grabowsky_2026_CVPR, author = {Grabowsky, Natalie and M\"utze, Annika and Rottmann, Matthias}, title = {Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4219-4229} }
Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception-
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[bibtex]@InProceedings{Bhowmick_2026_CVPR, author = {Bhowmick, Arka and \"Ozeren, Enes and Abdullah, Ahmed and Wasenm\"uller, Oliver}, title = {Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4200-4208} }
Rethinking Skip Connections in Diffusion Models for Replication Mitigation-
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[supp]
[bibtex]@InProceedings{Li_2026_CVPR, author = {Li, Chenghao and Zhang, Yuke and Chen, Dake and Xu, Jingqi and Beerel, Peter A.}, title = {Rethinking Skip Connections in Diffusion Models for Replication Mitigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4230-4239} }
Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zimmermann_2026_CVPR, author = {Zimmermann, Jakob and Holzbach, Gerrit and Lerch, David}, title = {Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4312-4321} }
Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Priyadershi_2026_CVPR, author = {Priyadershi, Abhinaw and Frtunikj, Jelena}, title = {Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4282-4291} }
Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Muller_2026_CVPR, author = {M\"uller, Adam T. and R\"ogelein, Tobias and Stache, Nicolaj C.}, title = {Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4250-4260} }
Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pavlitska_2026_CVPR, author = {Pavlitska, Svetlana and Fan, Haixi and Ditschuneit, Konstantin and Z\"ollner, J. Marius}, title = {Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4272-4281} }
Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging-
[pdf]
[bibtex]@InProceedings{Malatynski_2026_CVPR, author = {Malaty\'nski, Tristan and Jaworek-Korjakowska, Joanna}, title = {Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4240-4249} }
Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tsaprazlis_2026_CVPR, author = {Tsaprazlis, Efthymios and Feng, Tiantian and Ramakrishna, Anil and Gupta, Rahul and Narayanan, Shrikanth}, title = {Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4292-4301} }
Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{De_Vita_2026_CVPR, author = {De Vita, Michele and Wiederer, Julian and Belagiannis, Vasileios}, title = {Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4209-4218} }