The Fourth Workshop on Fair, Data-Efficient, and Trusted Computer Vision
Synthetic Sample Selection for Generalized Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gowda_2023_CVPR, author = {Gowda, Shreyank N.}, title = {Synthetic Sample Selection for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {58-67} }
Robustness Against Gradient Based Attacks Through Cost Effective Network Fine-Tuning-
[pdf]
[bibtex]@InProceedings{Agarwal_2023_CVPR, author = {Agarwal, Akshay and Ratha, Nalini and Singh, Richa and Vatsa, Mayank}, title = {Robustness Against Gradient Based Attacks Through Cost Effective Network Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {28-37} }
Learning Unbiased Classifiers From Biased Data With Meta-Learning-
[pdf]
[bibtex]@InProceedings{Ragonesi_2023_CVPR, author = {Ragonesi, Ruggero and Morerio, Pietro and Murino, Vittorio}, title = {Learning Unbiased Classifiers From Biased Data With Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {1-9} }
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yuhao and Gunraj, Hayden and Zeng, E. Zhixuan and Meyer, Robbie and Gilles, Maximilian and Wong, Alexander}, title = {MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {68-77} }
The Casual Conversations v2 Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Porgali_2023_CVPR, author = {Porgali, Bilal and Albiero, V{\'\i}tor and Ryda, Jordan and Ferrer, Cristian Canton and Hazirbas, Caner}, title = {The Casual Conversations v2 Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {10-17} }
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Linzhi and Wang, Mei and Liang, Jiahao and Deng, Weihong and Shi, Hongzhi and Wen, Dongchao and Zhang, Yingjie and Zhao, Jian}, title = {Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {38-47} }
Schrodinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera-
[pdf]
[bibtex]@InProceedings{Kirkland_2023_CVPR, author = {Kirkland, Hannah and Koppal, Sanjeev J.}, title = {Schrodinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {18-27} }
Estimating and Maximizing Mutual Information for Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shrivastava_2023_CVPR, author = {Shrivastava, Aman and Qi, Yanjun and Ordonez, Vicente}, title = {Estimating and Maximizing Mutual Information for Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {48-57} }