The 6th Workshop on Fair, Data-Efficient, and Trusted Computer Vision
Coordinated Robustness Evaluation Framework for Vision-Language Models-
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[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 = {Coordinated Robustness Evaluation Framework for Vision-Language Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {712-720} }
Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization-
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[bibtex]@InProceedings{Aslam_2025_CVPR, author = {Aslam, Nazia and Nasrollahi, Kamal}, title = {Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {729-738} }
A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning-
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[bibtex]@InProceedings{Kumar_2025_CVPR, author = {Kumar, Akash and Kumar, Ashlesha and Vineet, Vibhav and Rawat, Yogesh S}, title = {A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {670-681} }
EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference-
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[bibtex]@InProceedings{Kaushik_2025_CVPR, author = {Kaushik, Prakhar and Vaidya, Ankit and Chaudhari, Shravan and Yuille, Alan}, title = {EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {649-659} }
Bridging Detection and Re-identification: Evaluating Trustworthiness and Error Propagation in Face Recognition Pipelines-
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[bibtex]@InProceedings{Leong_2025_CVPR, author = {Leong, Kuan Yew and Han, Jaeseung}, title = {Bridging Detection and Re-identification: Evaluating Trustworthiness and Error Propagation in Face Recognition Pipelines}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {639-648} }
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?-
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[bibtex]@InProceedings{Gowda_2025_CVPR, author = {Gowda, Shreyank and Gao, Boyan and Gu, Xiao and Jin, Xiabo}, title = {Is Temporal Prompting All We Need For Limited Labeled Action Recognition?}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {682-692} }
Intriguing Properties of Robust Classification-
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[bibtex]@InProceedings{Prach_2025_CVPR, author = {Prach, Bernd and Lampert, Christoph H.}, title = {Intriguing Properties of Robust Classification}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {660-669} }
Classification Drives Geographic Bias in Street Scene Segmentation-
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[bibtex]@InProceedings{Nair_2025_CVPR, author = {Nair, Rahul and Tokas, Bhanu and Tseng, Gabriel and Rolf, Esther and Kerner, Hannah}, title = {Classification Drives Geographic Bias in Street Scene Segmentation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {629-638} }
ProtoPatchNet: An Interpretable Patch-Based Prototypical Network-
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[bibtex]@InProceedings{Singh_2025_CVPR, author = {Singh, Mohana and S, Vivek B and Gubbi, Jayavardhana and Babu, R. Venkatesh}, title = {ProtoPatchNet: An Interpretable Patch-Based Prototypical Network}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {721-728} }
Defending Against Transfer-Based Adversarial Attacks Using SVD-Driven Feature Evolution-
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[bibtex]@InProceedings{Liu_2025_CVPR, author = {Liu, Xinlei and Hu, Tao and Yi, Peng and Pan, Qingtao and Ma, Hailong and Jiang, Yiming and Li, Baolin}, title = {Defending Against Transfer-Based Adversarial Attacks Using SVD-Driven Feature Evolution}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {703-711} }
Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks-
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[bibtex]@InProceedings{Fime_2025_CVPR, author = {Fime, Awal Ahmed and Hossain, Md Zarif and Zaman, Saika and Shahid, Abdur R and Imteaj, Ahmed}, title = {Towards Trustworthy Autonomous Vehicles with Vision-Language Models Under Targeted and Untargeted Adversarial Attacks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {619-628} }
Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach-
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[bibtex]@InProceedings{Ali_2025_CVPR, author = {Ali, Mohsin and Raza, Haider and Gan, John Q. and Haris, Muhammad}, title = {Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {693-702} }