Search Results - "2023 IEEE International Joint Conference on Biometrics (IJCB)"

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    Synthetic Data for the Mitigation of Demographic Biases in Face Recognition by Melzi, Pietro, Rathgeb, Christian, Tolosana, Ruben, Vera-Rodriguez, Ruben, Morales, Aythami, Lawatsch, Dominik, Domin, Florian, Schaubert, Maxim

    “…This study investigates the possibility of mitigating the demographic biases that affect face recognition technologies through the use of synthetic data…”
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    Conference Proceeding
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    A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems by Adami, Banafsheh, Tehranipoor, Sara, Nasrabadi, Nasser, Karimian, Nima

    “…With the increasing integration of smartphones into our daily lives, fingerphotos are becoming a potential contactless authentication method. While it offers…”
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    Conference Proceeding
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    On the Biometric Capacity of Generative Face Models by Boddeti, Vishnu Naresh, Sreekumar, Gautam, Ross, Arun

    “…There has been tremendous progress in generating realistic faces with high fidelity over the past few years. Despite this progress, a crucial question remains…”
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    Conference Proceeding
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    Multi-Biometric Fuzzy Vault based on Face and Fingerprints by Rathgeb, C., Tams, B., Merkle, J., Nesterowicz, V., Korte, U., Neu, M.

    “…The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. To improve accuracy and…”
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    Conference Proceeding
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    TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network by Sun, Yan, Feng, Xueling, Ma, Liyan, Hu, Long, Nixon, Mark

    “…Gait recognition is a promising biometric technology for identification due to its non-invasiveness and long-distance. However, external variations such as…”
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    Conference Proceeding
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    HEBI: Homomorphically Encrypted Biometric Indexing by Bauspies, Pia, Grimmer, Marcel, Fougner, Cecilie, Vasseur, Damien Le, Stocklin, Thomas Thaulow, Rathgeb, Christian, Kolberg, Jascha, Costache, Anamaria, Busch, Christoph

    “…Biometric data stored in automated recognition systems are at risk of attacks. This is particularly true for large-scale biometric identification systems,…”
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    ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation by Boutros, Fadi, Klemt, Marcel, Fang, Meiling, Kuijper, Arjan, Damer, Naser

    “…Deep generative models have recently presented impressive results in generating realistic face images of random synthetic identities. To generate multiple…”
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    Conference Proceeding
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    A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point by Freire-Obregon, David, Lorenzo-Navarro, Javier, Santana, Oliverio J., Hernandez-Sosa, Daniel, Castrillon-Santana, Modesto

    “…Re-identifying participants in ultra-distance running competitions can be daunting due to the extensive distances and constantly changing terrain. To overcome…”
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    Conference Proceeding
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    Unconventional Biometrics: Exploring the Feasibility of a Cognitive Trait based on Visual Self-Recognition by Graupner, Hendrik, Schwetlick, Lisa, Engbert, Ralf, Meinel, Christoph

    “…Biometric recognition systems are an integral part of security in modern computer systems. Contrary to related work, our approach to biometrics does not base…”
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    Conference Proceeding
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    Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation by Hasan, Md Mahedi, Nasrabadi, Nasser

    “…We introduce caption-guided face recognition (CGFR) as a new framework to improve the performance of commercial-off-the-shelf (COTS) face recognition (FR)…”
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    Conference Proceeding
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    FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection by Alkhunaizi, Naif, Srivatsan, Koushik, Almalik, Faris, Almakky, Ibrahim, Nandakumar, Karthik

    “…Lack of generalization to unseen domains/attacks is the Achilles heel of most face presentation attack detection (FacePAD) algorithms. Existing attempts to…”
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    Conference Proceeding
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    Optimal-Landmark-Guided Image Blending for Face Morphing Attacks by He, Qiaoyun, Deng, Zongyong, He, Zuyuan, Zhao, Qijun

    “…In this paper, we propose a novel approach for conducting face morphing attacks, which utilizes optimal-landmark-guided image blending. Current face morphing…”
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    Gait Recognition with Mask-based Regularization by Shen, Chuanfu, Lin, Beibei, Zhang, Shunli, Yu, Xin, Huang, George Q., Yu, Shiqi

    “…Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many…”
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    Conference Proceeding
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    GaitRef: Gait Recognition with Refined Sequential Skeletons by Zhu, Haidong, Zheng, Wanrong, Zheng, Zhaoheng, Nevatia, Ram

    “…Identifying humans with their walking sequences, known as gait recognition, is a useful biometric understanding task as it can be observed from a long distance…”
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    KinfaceNet: A New Deep Transfer Learning based Kinship Feature Extraction Framework by Ghosh, Pallabi, Shomaji, Sumaiya, Woodard, Damon L., Forte, Domenic

    “…Advances in vision and deep learning have revolutionized feature extraction for face recognition and verification systems, yet, performing kinship verification…”
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    Conference Proceeding
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    CCFace: Classification Consistency for Low-Resolution Face Recognition by Saadabadi, Mohammad Saeed Ebrahimi, Malakshan, Sahar Rahimi, Kashiani, Hossein, Nasrabadi, Nasser M.

    “…In recent years, deep face recognition methods have demonstrated impressive results on in-the-wild datasets. However, these methods have shown a significant…”
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    Template Recovery Attack on Homomorphically Encrypted Biometric Recognition Systems with Unprotected Threshold Comparison by Bassit, Amina, Hahn, Florian, Rezgui, Zohra, Kelly, Una, Veldhuis, Raymond, Peter, Andreas

    “…Privacy-preserving biometric template protection schemes (BTPs) preserve biometric data by hiding biometric representations via a privacy-preserving mechanism…”
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    Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation by Li, Haiqing, Wang, Caiyong, Zhao, Guangzhe, He, Zhaofeng, Wang, Yunlong, Sun, Zhenan

    “…Sclera segmentation is a crucial step in sclera recognition, which has been greatly advanced by Convolutional Neural Networks (CNNs). However, when dealing…”
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    Conference Proceeding