CVPR 2025 Open Access Repository

7th Safe Artificial Intelligence for All Domains

How Much Noise is there in Labels Generated by Humans? A Method to Validate Automatically Generated Bounding Boxes.: Mariusz Nowak,

Jacek Cyranka,

Natalia Maslany,

Aleksander Kostuch,

Jakub Derbisz,

Mateusz Komorkiewicz,

Patryk Siwek,

Mateusz Wójcik,

Dariusz Marchewka,

Paweł Skruch; [pdf] [supp]
[bibtex]
@InProceedings{Nowak_2025_CVPR, author = {Nowak, Mariusz and Cyranka, Jacek and Maslany, Natalia and Kostuch, Aleksander and Derbisz, Jakub and Komorkiewicz, Mateusz and Siwek, Patryk and W\'ojcik, Mateusz and Marchewka, Dariusz and Skruch, Pawe{\l}}, title = {How Much Noise is there in Labels Generated by Humans? A Method to Validate Automatically Generated Bounding Boxes.}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4371-4380} }
Universal Shape of Strong Remote Adversarial Patches for Object Detection with Convolutional Neural Networks: Kento Oonishi,

Tsunato Nakai; [pdf] [supp]
[bibtex]
@InProceedings{Oonishi_2025_CVPR, author = {Oonishi, Kento and Nakai, Tsunato}, title = {Universal Shape of Strong Remote Adversarial Patches for Object Detection with Convolutional Neural Networks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4330-4340} }
Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations: Tharun Anand,

Siva Sankar,

Pravin Nair; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Anand_2025_CVPR, author = {Anand, Tharun and Sankar, Siva and Nair, Pravin}, title = {Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4341-4351} }
Improving Weather-based OOD Generalisation in Lidar-based Object Detection Models via Adversarial Training: Ben Batten,

Alessio Lomuscio; [pdf]
[bibtex]
@InProceedings{Batten_2025_CVPR, author = {Batten, Ben and Lomuscio, Alessio}, title = {Improving Weather-based OOD Generalisation in Lidar-based Object Detection Models via Adversarial Training}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4321-4329} }
Robustness Evaluation for Video Models with Reinforcement Learning: Ashwin Ramesh Babu,

Sajad Mousavi,

Vineet Gundecha,

Sahand Ghorbanpour,

Avisek Naug,

Antonio Guillen,

Ricardo Luna,

Soumyendu Sarkar; [pdf] [arXiv]
[bibtex]
@InProceedings{Babu_2025_CVPR, author = {Babu, Ashwin Ramesh and Mousavi, Sajad and Gundecha, Vineet and Ghorbanpour, Sahand and Naug, Avisek and Guillen, Antonio and Luna, Ricardo and Sarkar, Soumyendu}, title = {Robustness Evaluation for Video Models with Reinforcement Learning}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4362-4370} }
Traffic Sign Recognition Under Visual Perturbations: Shadows, Light Patches, and Simulated Obstructions: Muneeb A. Khan,

Yujin Choi,

Jiho Eum,

Heemin Park; [pdf]
[bibtex]
@InProceedings{Khan_2025_CVPR, author = {Khan, Muneeb A. and Choi, Yujin and Eum, Jiho and Park, Heemin}, title = {Traffic Sign Recognition Under Visual Perturbations: Shadows, Light Patches, and Simulated Obstructions}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4381-4390} }
Out-of-Distribution Detection with Adversarial Outlier Exposure: Thomas Botschen,

Konstantin Kirchheim,

Frank Ortmeier; [pdf]
[bibtex]
@InProceedings{Botschen_2025_CVPR, author = {Botschen, Thomas and Kirchheim, Konstantin and Ortmeier, Frank}, title = {Out-of-Distribution Detection with Adversarial Outlier Exposure}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4391-4400} }
Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation: Moritz Thoma,

Tobias Preintner,

Emad Aghajanzadeh,

Shambhavi Balamuthu Sampath,

Pierpaolo Mori,

Nael Fasfous,

Manoj-Rohit Vemparala,

Alexander Frickenstein,

Daniel Mueller-Gritschneder,

Ulf Schlichtmann; [pdf] [supp]
[bibtex]
@InProceedings{Thoma_2025_CVPR, author = {Thoma, Moritz and Preintner, Tobias and Aghajanzadeh, Emad and Sampath, Shambhavi Balamuthu and Mori, Pierpaolo and Fasfous, Nael and Vemparala, Manoj-Rohit and Frickenstein, Alexander and Mueller-Gritschneder, Daniel and Schlichtmann, Ulf}, title = {Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4401-4411} }
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art: Youssef Shoeb,

Azarm Nowzad,

Hanno Gottschalk; [pdf] [arXiv]
[bibtex]
@InProceedings{Shoeb_2025_CVPR, author = {Shoeb, Youssef and Nowzad, Azarm and Gottschalk, Hanno}, title = {Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4310-4320} }
CTC: Contribution to Classification of Complex Features: Sophia Kalanovska,

Michael Luck,

Christopher Hampson; [pdf]
[bibtex]
@InProceedings{Kalanovska_2025_CVPR, author = {Kalanovska, Sophia and Luck, Michael and Hampson, Christopher}, title = {CTC: Contribution to Classification of Complex Features}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {4352-4361} }