CVPR 2024 Biometrics Workshop
3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2024_CVPR, author = {Lin, Zhi-Yi and Lyu, Bofan and Fernandez, Judith Cueto and Van Der Kruk, Eline and Seth, Ajay and Zhang, Xucong}, title = {3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1441-1450} }
Can the Accuracy Bias by Facial Hairstyle be Reduced Through Balancing the Training Data?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ozturk_2024_CVPR, author = {Ozturk, Kagan and Wu, Haiyu and Bowyer, Kevin W.}, title = {Can the Accuracy Bias by Facial Hairstyle be Reduced Through Balancing the Training Data?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1519-1528} }
Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2024_CVPR, author = {Zhang, Haoyu and Ramachandra, Raghavendra and Raja, Kiran and Busch, Christoph}, title = {Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1510-1518} }
GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kolf_2024_CVPR, author = {Kolf, Jan Niklas and Damer, Naser and Boutros, Fadi}, title = {GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1490-1499} }
TattTRN: Template Reconstruction Network for Tattoo Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gonzalez-Soler_2024_CVPR, author = {Gonzalez-Soler, Lazaro Janier and Salwowski, Maciej and Rathgeb, Christian and Fischer, Daniel}, title = {TattTRN: Template Reconstruction Network for Tattoo Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1529-1538} }
Adversarial Identity Injection for Semantic Face Image Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tarollo_2024_CVPR, author = {Tarollo, Giuseppe and Fontanini, Tomaso and Ferrari, Claudio and Borghi, Guido and Prati, Andrea}, title = {Adversarial Identity Injection for Semantic Face Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1471-1480} }
Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-Tuning-
[pdf]
[supp]
[bibtex]@InProceedings{Ogino_2024_CVPR, author = {Ogino, Yuka and Kakizaki, Kazuya and Toizumi, Takahiro and Ito, Atsushi}, title = {Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1451-1461} }
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis-
[pdf]
[bibtex]@InProceedings{Chen_2024_CVPR, author = {Chen, Zijian and Wang, Mei and Deng, Weihong and Shi, Hongzhi and Wen, Dongchao and Zhang, Yingjie and Cui, Xingchen and Zhao, Jian}, title = {Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1481-1489} }
One Embedding to Predict Them All: Visible and Thermal Universal Face Representations for Soft Biometric Estimation via Vision Transformers-
[pdf]
[bibtex]@InProceedings{Mirabet-Herranz_2024_CVPR, author = {Mirabet-Herranz, Nelida and Galdi, Chiara and Dugelay, Jean-Luc}, title = {One Embedding to Predict Them All: Visible and Thermal Universal Face Representations for Soft Biometric Estimation via Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1500-1509} }
FIQA-FAS: Face Image Quality Assessment Based Face Anti-Spoofing-
[pdf]
[bibtex]@InProceedings{Liang_2024_CVPR, author = {Liang, Ya-Chi and Qiu, Min-Xuan and Lai, Shang-Hong}, title = {FIQA-FAS: Face Image Quality Assessment Based Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1462-1470} }